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2nd CaPTion@MICCAI 2023: Vancouver, BC, Canada
Classification
- Van-Linh Le, Audrey Michot, Amandine Crombé, Carine Ngo, Charles Honoré, Jean-Michel Coindre, Olivier Saut, Francois Le-Loarer:
A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images. 3-16 - David Grajales, William Le, Frédérick Dallaire, Guillaume Sheehy, Sandryne David, Trang Tran, Frédéric Leblond, Cynthia Ménard, Samuel Kadoury:
Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification. 17-28 - Anum Masood, Usman Naseem, Mehwish Nasim:
Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. 29-39 - Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali:
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. 40-51
Detection and Segmentation
- Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel:
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. 55-67 - Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. 68-82 - Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. 83-93 - Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen:
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. 94-104
Cancer/Early cancer Surveillance
- George Leifman, Idan Kligvasser, Roman Goldenberg, Ehud Rivlin, Michael Elad:
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. 107-118 - Netanel Frank, Erez Posner, Emmanuelle Muhlethaler, Adi Zholkover, Moshe Bouhnik:
ColNav: Real-Time Colon Navigation for Colonoscopy. 119-131 - Vivien van Veldhuizen, Sharvaree P. Vadgama, Onno J. de Boer, Sybren L. Meijer, Erik J. Bekkers:
Modeling Barrett's Esophagus Progression Using Geometric Variational Autoencoders. 132-142
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