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ORCID1st CaPTion@MICCAI 2022: Singapore
- Sharib Ali
, Fons van der Sommen, Bartlomiej Wladyslaw Papiez, Maureen A. J. M. van Eijnatten, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13581, Springer 2022, ISBN 978-3-031-17978-5
Classification
- Elias Munoz, Pierre Baudot, Van-Khoa Le, Charles Voyton, Benjamin Renoust, Danny Francis, Vladimir Groza, Jean-Christophe Brisset, Ezequiel Geremia, Antoine Iannessi, Yan Liu, Benoit Huet:
3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis. 3-13 - Ziang Xu, Sharib Ali, Numan Celik, Adam Bailey, Barbara Braden, Jens Rittscher:
Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance. 14-23 - Panagiotis Barmpoutis, Jing Yuan, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C. Alexander, Marnix Jansen:
Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset. 24-33 - Maosong Cao, Xin Zhang, Xiangshan Fan, Lichi Zhang, Qian Wang:
Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening. 34-43
Detection and Diagnosis
- Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
Lightweight Transformer Backbone for Medical Object Detection. 47-56 - Carlos Hernández-Pérez, Marc Combalia Escudero, Susana Puig, Josep Malvehy, Verónica Vilaplana Besler:
Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours. 57-66 - Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. 67-76 - Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis:
IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps. 77-86
Lesion Characterization
- Carolus H. J. Kusters, Tim Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. 89-98 - M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. 99-107 - Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. 108-117 - George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher:
Active Data Enrichment by Learning What to Annotate in Digital Pathology. 118-127
Segmentation, Registration, and Image-Guided Intervention
- T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. 131-138 - Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. 139-148 - Iani J. M. B. Gayo, Shaheer U. Saeed, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy. 149-158 - Zhan Jin, Peng Xue, Yuyao Zhang, Xiaohuan Cao, Dinggang Shen:
Semantic-Aware Registration with Weakly-Supervised Learning. 159-168
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