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ORCIDComputerized Medical Imaging and Graphics, Volume 88
Volume 88, March 2021
- Duo Wang, Tao Zhang
, Ming Li, Raphael Bueno, Jagadeesan Jayender:
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation. 101814
- Yunjie He, Hong Zhao, Stephen T. C. Wong:
Deep learning powers cancer diagnosis in digital pathology. 101820
- Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas:
Analyzing magnetic resonance imaging data from glioma patients using deep learning. 101828 - Milan Decuyper, Stijn Bonte, Karel Deblaere, Roel Van Holen:
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma. 101831 - Yanlin Liu, Wenhui Cui, Qing Ha, Xiaoliang Xiong, Xiangzhu Zeng, Chuyang Ye:
Knowledge transfer between brain lesion segmentation tasks with increased model capacity. 101842
- Imran Iqbal, Muhammad Younus, Khuram Walayat, Mohib Ullah Kakar, Jinwen Ma:
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images. 101843
- Michal Krecichwost, Joanna Czajkowska, Agata Wijata, Jan Maria Juszczyk, Bartlomiej Pycinski, Marta Biesok, Marcin Rudzki, Jakub Majewski, Jacek Kostecki, Ewa Pietka:
Chronic wounds multimodal image database. 101844
- De Rong Loh, Wen Xin Yong, Jullian Yapeter, Karupppasamy Subburaj, Rajesh Chandramohanadas:
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN. 101845
- Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. 101846
- Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang:
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. 101848
- Yongbin Zhang, Lifei Joy Zhang, Laurence E. Court, Peter A. Balter, Lei Dong, Jinzhong Yang:
Tissue-specific deformable image registration using a spatial-contextual filter. 101849
- Qi Zhang, Abbas Samani, Terry M. Peters:
MR and ultrasound cardiac image dynamic visualization and synchronization over Internet for distributed heart function diagnosis. 101850
- Guoping Xu, Hanqiang Cao, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian:
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images. 101851
- Andrea Caroppo, Alessandro Leone, Pietro Siciliano:
Deep transfer learning approaches for bleeding detection in endoscopy images. 101852
- Shereen Fouad, Gabriel Landini, Max Robinson, Tzu-Hsi Song, Hisham Mehanna:
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. 101853 - Changjiang Zhou, Yi Jin, Yuzong Chen, Shan Huang, Rengpeng Huang, Yuhong Wang, Youcai Zhao, Yao Chen, Lingchuan Guo, Jun Liao:
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning. 101861
- Abderazzak Ammar, Omar Bouattane, Mohamed Youssfi:
Automatic cardiac cine MRI segmentation and heart disease classification. 101864
- David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs:
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation. 101866
- Ramya Balakrishnan, Maria del C. Valdés Hernández, Andrew J. Farrall:
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review. 101867
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