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"cancer detection": models, code, and papers
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Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge

Jun 04, 2021
Lauren Jimenez-Martin, Daniel A. Valdés Pérez, Ana M. Solares Asteasuainzarra, Ludwig Leonard, Marta L. Baguer Díaz-Romañach

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ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images

Jul 30, 2017
Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng

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Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy

May 16, 2021
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo

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Segmenting Microcalcifications in Mammograms and its Applications

Feb 01, 2021
Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy Meirav Galun

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PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment

Jun 08, 2021
Sharib Ali, Debesh Jha, Noha Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East

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Discriminative Localized Sparse Representations for Breast Cancer Screening

Nov 20, 2020
Sokratis Makrogiannis, Chelsea E. Harris, Keni Zheng

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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Aug 17, 2018
Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina Hulsbergen-van de Kaa, Geert Litjens

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Semi-supervised multi-task learning for lung cancer diagnosis

May 04, 2018
Naji Khosravan, Ulas Bagci

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Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study

Jan 11, 2021
Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen

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DeepPap: Deep Convolutional Networks for Cervical Cell Classification

Jan 25, 2018
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao

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