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2nd CaPTion@MICCAI 2023: Vancouver, BC, Canada

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Sharib Ali, Fons van der Sommen, Maureen van Eijnatten, Bartlomiej W. Papiez, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14295, Springer 2023, ISBN 978-3-031-45349-6

Classification

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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
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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
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  - conf/miccai/MasoodNN23
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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
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  - conf/miccai/ValenciaFCSLOA23
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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

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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
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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
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  - conf/miccai/QuihuiRubioFOGM23
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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
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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

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George Leifman, Idan Kligvasser, Roman Goldenberg, Ehud Rivlin, Michael Elad:
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. 107-118
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Netanel Frank, Erez Posner, Emmanuelle Muhlethaler, Adi Zholkover, Moshe Bouhnik:
ColNav: Real-Time Colon Navigation for Colonoscopy. 119-131
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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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