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Medical Imaging: Computer-Aided Diagnosis 2018: Houston, Texas, USA
- Nicholas A. Petrick, Kensaku Mori:
Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018. SPIE Proceedings 10575, SPIE 2018
Lung I and Liver
- Hirohisa Oda, Holger R. Roth
, Kanwal K. Bhatia, Masahiro Oda
, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel
, Kensaku Mori
:
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. 1057502 - Salma Dammak, David Palma, Sarah A. Mattonen, Suresh Senan, Aaron D. Ward:
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design. 1057503 - Aviel Blumenfeld, Eli Konen, Hayit Greenspan:
Pneumothorax detection in chest radiographs using convolutional neural network. 1057504 - Sebastian Roberto Tarando, Catalin I. Fetita, Young-Wouk Kim, Hyoun Cho, Pierre-Yves Brillet:
Boosting CNN performance for lung texture classification using connected filtering. 1057505 - Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan:
Automatic liver volume segmentation and fibrosis classification. 1057506
Radiomics
- Ashirbani Saha, Michael R. Harowicz
, Lars J. Grimm
, Connie E. Kim, Ruth Walsh
, Sujata V. Ghate, Maciej A. Mazurowski:
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. 1057507 - Juhun Lee, Robert M. Nishikawa
, Gustavo K. Rohde:
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis. 1057508 - Saima Rathore, Spyridon Bakas, Hamed Akbari
, Gaurav Shukla, Martin Rozycki, Christos Davatzikos:
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques. 1057509 - Heather M. Whitney
, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger:
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. 105750A - Prathyush Chirra, Patrick Leo
, Michael Yim
, B. Nicolas Bloch, Ardeshir R. Rastinehad, Andrei Purysko, Mark Rosen, Anant Madabhushi, Satish Viswanath
:
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. 105750B - Kavya Ravichandran, Nathaniel Braman
, Andrew Janowczyk, Anant Madabhushi:
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. 105750C
Brain I
- L. Vidyaratne, Mahbubul Alam, Zeina A. Shboul
, Khan M. Iftekharuddin:
Deep learning and texture-based semantic label fusion for brain tumor segmentation. 105750D - Behrouz Saghafi, Gowtham Murugesan
, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Alexander Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. 105750E - Gowtham Krishnan Murugesan
, Behrouz Saghafi, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alex Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players. 105750F - Liane S. Canas, Benjamin C. Yvernault, David M. Cash
, Erika Molteni, Tom Veale
, Tammie L. S. Benzinger
, Sébastien Ourselin
, Simon Mead
, Marc Modat
:
Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction. 105750G - P. P. J. H. Langenhuizen, M. J. W. Legters, Svitlana Zinger, H. B. Verheul, S. Leenstra, Peter H. N. de With:
MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma. 105750H - Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li:
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data. 105750I - Luca Giancardo
, Timothy M. Ellmore
, Jessika Suescun, Laura Ocasio, Arash Kamali, Roy Riascos-Castaneda
, Mya C. Schiess:
Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity. 105750J
Musculoskeletal and Skin
- Pak-Hei Yeung, York-Kiat Tan, Shuoyu Xu:
Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment. 105750K - Christine Bakhous, Benjamin Aubert
, Carlos Vázquez
, Thierry Cresson, Stefan Parent, Jacques A. de Guise:
Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs. 105750L - Shuang Liu, Jessica González
, Javier Zulueta, Juan P. de-Torres
, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
Fully automated bone mineral density assessment from low-dose chest CT. 105750M - Jianing Wang, Fuyao Chen, Laura E. Dellalana, Madan H. Jagasia, Eric R. Tkaczyk
, Benoit M. Dawant:
Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks. 105750N - Pegah Kharazmi, Sunil Kalia, Harvey Lui, Z. Jane Wang, Tim K. Lee:
Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images. 105750O
Breast I
- Morteza Heidari
, Abolfazl Zargari Khuzani, Gopichandh Danala
, Yuchen Qiu, Bin Zheng:
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. 105750P - Ravi K. Samala, Heang-Ping Chan
, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha:
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. 105750Q - Rui Hou, Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. 105750R - Hui Li, Kayla R. Mendel, John H. Lee, Li Lan, Maryellen L. Giger:
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. 105750S - Kayla R. Mendel, Hui Li, Deepa Sheth, Maryellen L. Giger:
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. 105750T - Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski:
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. 105750U
Cardiac, Vessels, and Novel Applications
- Qing Cao, Alexander Broersen, Pieter H. Kitslaar, Boudewijn P. F. Lelieveldt, Jouke Dijkstra:
A quality score for coronary artery tree extraction results. 105750V - Shubham Chechani, Rahul Suresh, Kedar A. Patwardhan:
Aortic root segmentation in 4D transesophageal echocardiography. 105750W - Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Toshihiko Sugiura, Nobuhiro Tanabe, Masahiko Kusumoto, Kenji Eguchi, Masahiro Kaneko:
Automated assessment of aortic and main pulmonary arterial diameters using model-based blood vessel segmentation for predicting chronic thromboembolic pulmonary hypertension in low-Dose CT lung screening. 105750X - Udaysankar Chockanathan
, Adora M. DSouza, Anas Z. Abidin
, Giovanni Schifitto, Axel Wismüller:
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI. 105750Z
Keynote and Eye
- Zhihong Hu, Ziyuan Wang, SriniVas R. Sadda:
Automated segmentation of geographic atrophy using deep convolutional neural networks. 1057511 - Behnam Askarian, Fatemehsadat Tabei, Amin Askarian, Jo Woon Chong:
An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone. 1057512
Colon and Prostate
- Chengliang Wang, Zhuo Luo, Xiaoqi Liu, Jianying Bai, Guobin Liao:
Detection of protruding lesion in wireless capsule endoscopy videos of small intestine. 1057513 - Zhenchao Tang, Zhenyu Liu, Xiaoyan Zhang, Yanjie Shi, Shou Wang, Mengjie Fang, Yingshi Sun, Enqing Dong, Jie Tian:
Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy. 1057514 - R. Alfano, D. Soetemans, Glenn S. Bauman, Eli Gibson, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward:
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI. 1057515 - Hayato Itoh, Yuichi Mori
, Masashi Misawa, Masahiro Oda
, Shin-ei Kudo, Kensaku Mori
:
Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis. 1057516 - Bo Chen, Lihong C. Li, Huafeng Wang, Xinzhou Wei, Shan Huang, Wensheng Chen, Zhengrong Liang:
A new fractional order derivative based active contour model for colon wall segmentation. 1057517 - Janne J. Näppi, Toru Hironaka, Hiroyuki Yoshida:
Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy. 1057518
Head and Neck
- Annika Hänsch
, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Jan Klein
, Horst K. Hahn:
Comparison of different deep learning approaches for parotid gland segmentation from CT images. 1057519 - Çaglar Senaras
, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yua, Metin N. Gurcan
:
Detection of eardrum abnormalities using ensemble deep learning approaches. 105751A - Ajay Patel, Rashindra Manniesing
:
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT. 105751B - Kamal Jnawali, Mohammad R. Arbabshirani, Navalgund Rao, Aalpen A. Patel:
Deep 3D convolution neural network for CT brain hemorrhage classification. 105751C - K. Standvoss, T. Crijns, L. Goerke, D. Janssen, S. Kern
, T. van Niedek, J. van Vugt, N. Alfonso Burgos, E. J. Gerritse, J. Mol, D. van de Vooren, Mohsen Ghafoorian, Thomas L. A. van den Heuvel, Rashindra Manniesing
:
Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks. 105751D
Lung II
- Sivaramakrishnan Rajaraman
, Sameer K. Antani
, Sema Candemir
, Zhiyun Xue, Joseph Abuya, Marc D. Kohli, Philip O. Alderson, George R. Thoma:
Comparing deep learning models for population screening using chest radiography. 105751E - Phawis Thammasorn, W. Wu, Larry A. Pierce, S. N. Pipavath, P. D. Lampe, A. M. Houghton, D. R. Haynor, W. Art Chaovalitwongse, Paul E. Kinahan
:
Deep-learning derived features for lung nodule classification with limited datasets. 105751F - Yoshiki Kawata, Noboru Niki, Masahiko Kusumoto, Hironobu Ohmatsu, Keiju Aokage, Genichiro Ishii, Yuji Matsumoto, Takaaki Tsuchida, Kenji Eguchi, Masahiro Kaneko:
Prognostic importance of pleural attachment status measured by pretreatment CT images in patients with stage IA lung adenocarcinoma: Measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area. 105751G - Chuan Zhou, Hongliu Sun, Heang-Ping Chan
, Aamer Chughtai, Jun Wei, Lubomir M. Hadjiiski, Ella A. Kazerooni:
Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images. 105751H - Sindhu Ramachandran, Jose George, Shibon Skaria, Varun V. V.:
Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans. 105751I - Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. 105751J
Quantitative
- Joseph J. Foy, Prerana Mitta, Lauren R. Nowosatka, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania A. Al-Hallaq, Samuel G. Armato III:
Variations in algorithm implementation among quantitative texture analysis software packages. 105751K - M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray:
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. 105751L - Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
:
Anomaly detection for medical images based on a one-class classification. 105751M - Jayasree Chakraborty
, Alessandra Pulvirenti
, Rikiya Yamashita
, Abhishek Midya, Mithat Gönen, David S. Klimstra, Diane L. Reidy, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. 105751N - Rachel B. Ger, Shouhao Zhou, Pai-Chun Melinda Chi, David L. Goff, Lifei Joy Zhang, Hannah J. Lee, Clifton D. Fuller
, Rebecca M. Howell, Heng Li, R. Jason Stafford, Laurence E. Court
, Dennis S. Mackin:
Quantitative image feature variability amongst CT scanners with a controlled scan protocol. 105751O
Brain II
- Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura
, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
:
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. 105751P - Midas Meijs, Rashindra Manniesing
:
Artery and vein segmentation of the cerebral vasculature in 4D CT using a 3D fully convolutional neural network. 105751Q - Ronald M. Juarez-Chambi, Carmen Kut, Jesus Rico-Jimenez, Daniel U. Campos-Delgado
, Alfredo Quinones-Hinojosa, Xingde Li, Javier A. Jo:
Detection of brain tumor margins using optical coherence tomography. 105751R - Viktor Wegmayr, Sai Aitharaju, Joachim M. Buhmann:
Classification of brain MRI with big data and deep 3D convolutional neural networks. 105751S - Alex Karargyros, Tanveer F. Syeda-Mahmood:
Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation. 105751T - Liyun Tu
, Antonio R. Porras
, Albert Oh, Natasha Leporé, Manuel Mastromanolis, Deki Tsering, Beatriz Paniagua, Andinet Enquobahrie, Robert T. Keating, Gary F. Rogers, Marius George Linguraru:
Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography. 105751U
Other Organs
- Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
, Ravi K. Samala, Richard H. Cohan
, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva:
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. 105751V - Nikhil S. Narayan, Srinivasan Sivanandan
, Srinivas Kudavelly, Kedar A. Patwardhan, G. A. Ramaraju:
Automated detection and segmentation of follicles in 3D ultrasound for assisted reproduction. 105751W - Carina Pereira, Manjiri Dighe, Adam M. Alessio:
Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images. 105751X - Marshall N. Gordon, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
, Richard H. Cohan
, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer:
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features. 105751Y - Pooneh R. Tabrizi, Awais Mansoor, Elijah Biggs, James Jago, Marius George Linguraru:
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks. 105751Z
Breast II
- Caleb D. Richter, Ravi K. Samala, Heang-Ping Chan
, Lubomir M. Hadjiiski, Kenny H. Cha:
Generalization error analysis: deep convolutional neural network in mammography. 1057520 - Ravi K. Samala, Heang-Ping Chan
, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha:
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. 1057521 - Seong Tae Kim
, Hakmin Lee, Hak Gu Kim, Yong Man Ro
:
ICADx: interpretable computer aided diagnosis of breast masses. 1057522 - Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu:
Do pre-trained deep learning models improve computer-aided classification of digital mammograms? 1057523 - Shuang Liu, Emily B. Sonnenblick, Lea Azour
, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
Fully automated gynecomastia quantification from low-dose chest CT. 1057524 - Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski:
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. 1057525
Poster Session: Abdominal and Gastrointestinal
- Xiaoqi Liu, Chengliang Wang, Jianying Bai, Guobin Liao:
Detecting PHG frames in wireless capsule endoscopy video by integrating rough global dominate-color with fine local texture feature. 1057526 - Ahmed S. Maklad
, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada, Gen Iinuma:
Automatic blood vessel based- liver segmentation using the portal phase abdominal CT. 1057527 - Abhishek Midya, Jayasree Chakraborty
, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. 1057528 - Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
, Elaine M. Caoili, Richard H. Cohan
, Alon Z. Weizer, Marshall N. Gordon, Ravi K. Samala:
Computer-aided detection of bladder wall thickening in CT urography (CTU). 1057529 - Marc Jason Pomeroy, Hongbing Lu, Perry J. Pickhardt, Zhengrong Liang:
Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps. 105752A - Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan
, Elaine M. Caoili, Richard H. Cohan
, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, Chuan Zhou:
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. 105752B - Xiangrong Zhou, Kazuma Yamada, Takuya Kojima, Ryosuke Takayama, Song Wang
, Xinxin Zhou, Takeshi Hara, Hiroshi Fujita:
Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images. 105752C - Chuang Wang, Jayaram K. Udupa, Yubing Tong, Jerry Chen, Sriram Venigalla, Dewey Odhner, Thomas J. Guzzo, John Christodouleas, Drew A. Torigian:
Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach. 105752D
Poster Session: Brain and Head
- Noriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Eri Matsuyama, Hideto Toyoshima:
Automated volumetry of temporal horn of lateral ventricle for detection of Alzheimer's disease in CT scan. 105752E - Fiona Lippert, Bastian Cheng, Amir Golsari, Florian Weiler, Johannes Gregori, Götz Thomalla
, Jan Klein
:
Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions. 105752F - Panagiotis Korfiatis, Timothy L. Kline, Bradley J. Erickson:
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients. 105752G - Akitoshi Katsumata, Tatsumasa Fukui, Shinji Shimoda, Kaoru Kobayashi, Tatsuro Hayashi:
Measurement of hard tissue density based on image density of intraoral radiograph. 105752H - Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy
:
Classifying magnetic resonance image modalities with convolutional neural networks. 105752I
Poster Session: Breast
- Alejandro Rodríguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Margarita Chevalier, Albert Gubern-Mérida, Ioannis Sechopoulos
:
Pectoral muscle segmentation in breast tomosynthesis with deep learning. 105752J - Gopichandh Danala
, Faranak Aghaei, Morteza Heidari
, Teresa Wu, Bhavika Patel
, Bin Zheng:
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. 105752K - Abolfazl Zargari Khuzani, Gopichandh Danala
, Morteza Heidari
, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng:
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. 105752L - Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger:
Recurrent neural networks for breast lesion classification based on DCE-MRIs. 105752M - Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty
, Anup K. Sadhu, Wasim Arif
:
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification. 105752N - Faranak Aghaei, Gopichandh Danala
, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng:
Association between mammogram density and background parenchymal enhancement of breast MRI. 105752O - Helder Cesar Rodigues de Oliveira
, Arianna Mencattini, Paola Casti, Eugenio Martinelli, Corrado Di Natale, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Adilson Gonzaga
, Marcelo Andrade da Costa Vieira
:
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography. 105752P - Guanxiong Cai, Yanhui Guo, Yaqin Zhang, Genggeng Qin
, Yuanpin Zhou, Yao Lu:
A fully automatic microcalcification detection approach based on deep convolution neural network. 105752Q - Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm
, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. 105752R - Nariman Jahani, Eric A. Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos, Despina Kontos:
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial. 105752S - Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson:
Expert identification of visual primitives used by CNNs during mammogram classification. 105752T - Chisako Muramatsu, Shunichi Higuchi, Takako Morita, Mikinao Oiwa, Hiroshi Fujita:
Similarity estimation for reference image retrieval in mammograms using convolutional neural network. 105752U - Jun Zhang, Sujata V. Ghate, Lars J. Grimm
, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski:
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. 105752V - Zhe Zhu, Michael R. Harowicz
, Jun Zhang, Ashirbani Saha, Lars J. Grimm
, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. 105752W - Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz
, Maciej A. Mazurowski:
Breast cancer molecular subtype classification using deep features: preliminary results. 105752X
Poster Session: Cardiac
- Chaitanya Kolluru, David Prabhu, Yazan Gharaibeh, Hao Wu, David L. Wilson
:
Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees. 105752Y - Fatemeh Zabihollahy, James A. White, Eranga Ukwatta:
Myocardial scar segmentation from magnetic resonance images using convolutional neural network. 105752Z - James D. Dormer
, Martin T. Halicek, Ling Ma, Carolyn M. Reilly
, Eduard Schreibmann, Baowei Fei
:
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. 1057530
Poster Session: Eye
- Anastasia Levenkova, Arcot Sowmya, Michael Kalloniatis
, Angelica Ly
, Arthur Ho:
Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis. 1057531