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ORCIDDigital Pathology 2021
- John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021. SPIE Proceedings 11603, SPIE 2021, ISBN 9781510640351
Digital to Computational Pathology: Near-Future translational Opportunities and Challenges
- Jeroen A. W. M. van der Laak:
Computational Pathology: What is the way forward?
Grading and Classification of Pathology Images
- Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak
, Katrien Grunberg, Francesco Ciompi:
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. - Seda Camalan, M. Khalid Khan Niazi, Mahesh Devarasetty, Shay Soker, Metin N. Gurcan:
Bladder cancer organoid image analysis: textured-based grading. - Thomas E. Tavolara, Gabriel Carreno-Galeano, Metin N. Gurcan, Sang Jin Lee, M. Khalid Khan Niazi:
Grading and localization of histological features for bioengineered kidney constructs. - Daan J. Geijs, Hans Pinckaers, Avital L. Amir, Geert J. S. Litjens:
End-to-end classification on basal-cell carcinoma histopathology whole-slides images. - Eric Cosatto, Kyle Gerard, Hans Peter Graf, Maki Ogura, Tomoharu Kiyuna, Kanako C. Hatanaka, Yoshihiro Matsuno, Yutaka Hatanaka:
A multi-scale conditional deep model for tumor cell ratio counting. - Gal Gozes, Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan:
Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images.
Computer-Aided Diagnosis, prognosis, and predictive Analysis
- Thomas E. Tavolara, M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. - Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Jennifer Connelly, Elizabeth J. Cochran, Peter S. LaViolette:
Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients. - Chang Bian, Yu Wang, Yu An, Hanfan Wang, Yang Du, Jie Tian:
A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment. - Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. - Bradie M. Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger:
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease.
Segmentation of Cellular and tissue Structures
- Darshana Govind, Briana A. Santo, Brandon Ginley, Rabi Yacoub, Avi Z. Rosenberg, Kuang-Yu Jen, Vighnesh Walavalkar, Gregory E. Wilding, Amber M. Worral, Imtiaz Mohammad, Pinaki Sarder:
Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease. - Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle:
Whole slide semantic segmentation: large scale active learning for digital pathology. - Aritra Chowdhury, Sujoy K. Biswas, Simone Bianco:
Active deep learning reduces annotation burden in automatic cell segmentation. - Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, Nasir M. Rajpoot:
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. - Brendon Lutnick, Avinash Kammardi Shashiprakash, David Manthey, Pinaki Sarder:
User friendly, cloud based, whole slide image segmentation. - Jonathan Moreira Cardozo Rehem, Washington Luís Conrado dos Santos, Angelo Amâncio Duarte, Luciano Rebouças de Oliveira, Michele Fúlvia Angelo:
Automatic glomerulus detection in renal histological images.
Emerging Methods and Integration of Multimodal and Spatial Information
- Tatsat R. Patel, Mohammad Waqas, Sarah Fricano, Adam A. Dmytriw, John Tomaszewski, Elad I. Levy, Kenneth V. Snyder, Jason M. Davies, Adnan H. Siddiqui, Vincent M. Tutino:
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. - Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi:
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. - Gouthamrajan Nadarajan, Scott Doyle:
Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer.
Multispectral and multiplexed imaging and Analysis
- Ling Ma, Ximing Zhou, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. - Ximing Zhou, Ling Ma, William Brown, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. - Ivica Kopriva, Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija:
Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens. - Freja Fagerblom, Karin Stacke, Jesper Molin:
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. - Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette:
Co-registration tool for large format whole mount prostate multi-plex histology. - Jocelyn Liu, Samuel Lam, Paul Lemaillet, Wei-Chung Cheng:
Colorimetrical evaluation of color normalization methods for H&E-stained images.
Poster Session
- Avinash Kammardi Shashiprakash, Brendon Lutnick, Brandon Ginley, Darshana Govind, Nicholas J. Lucarelli, Kuang-Yu Jen, Avi Z. Rosenberg, Anatoly Urisman, Vighnesh Walavalkar, Jonathan E. Zuckerman, Marco Delsante, Mei Lin Z. Bissonnette, John Tomaszewski, David Manthey, Pinaki Sarder:
A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. - Eleni Aloupogianni, Hiroyuki Suzuki, Takaya Ichimura, Atsushi Sasaki, Hiroto Yanagisawa, Tetsuya Tsuchida, Masahiro Ishikawa, Naoki Kobayashi, Takashi Obi:
Effect of formalin fixing on chromophore saliency maps derived from multi-spectral macropathology skin images. - Dhadma Balachandran, Margaret Brandwein-Weber, Jonathan Folmsbee, Scott Doyle:
Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer. - Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, Ulf-Dietrich Braumann:
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach. - Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair G. Gale, Ian Ellis, David R. J. Snead, Yan Chen:
Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour. - Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang:
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. - Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye:
Breast cancer magnification-independent multi-class histopathology classification using dual-step model. - Rongxiao Tang, Bo Yuan, Zhenhua Guo:
Accurate pathological patch classification with regression. - Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Marcus R. Clark, Maryellen L. Giger:
Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies. - Kuang-Yu Jen, Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, Darshana Govind, Hidetoshi Mori, Guofeng Gao, Pinaki Sarder:
In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology. - Tan Nhu Nhat Doan, Chang Hee Han, Jin Tae Kwak:
Distance ordinal regression loss for an improved nuclei segmentation. - Danny Poinapen, Tadashi Yoshizawa, Yuan Zho, Nicholas Charon, Stephanie Mou, Kiyoko Oshima, Laura D. Wood, Ralph H. Hruban, Wojciech Zbijewski:
Three-dimensional shape and topology analysis of tissue-cleared tumor samples. - Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger:
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. - Weizhe Li, Weijie Chen:
Reproducibility in deep learning algorithms for digital pathology applications: a case study using the CAMELYON16 datasets.
Erratum
- Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, Ulf-Dietrich Braumann:
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum).
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