Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology

13 June 2018

Papers citing "Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology"

26 / 26 papers shown

Title
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models Yichi Zhang Bohao Lv Le Xue Wenbo Zhang Yuchen Liu Yu Fu Yuan Cheng Yuan Qi VLM MedIm 280 6 0 28 Feb 2025
Efficient Whole Slide Image Classification through Fisher Vector RepresentationInternational Conferences on Biological Information and Biomedical Engineering (ICCBIBE), 2024 R. Gupta Dadi Dharani Shambhavi Shanker Amit Sethi 170 0 0 13 Nov 2024
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 229 19 0 10 Oct 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 288 3 0 26 Jun 2023
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological SlidesKnowledge-Based Systems (KBS), 2022 Bo Yu Hechang Chen Yunke Zhang Lele Cong S. Pang Hongren Zhou Zehao Wang Xianling Cong 182 6 0 18 Apr 2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning Jack Breen Katie Allen K. Zucker Geoff Hall Nicolas M. Orsi Nishant Ravikumar MedIm 122 10 0 17 Feb 2023
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 85 46 0 29 Nov 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical ReviewJournal of Personalized Medicine (J Pers Med), 2022 Heather D. Couture 189 26 0 27 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 223 2 0 09 Oct 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Linhao Qu Xiao-Zhuo Luo Shaolei Liu Manning Wang Zhijian Song VLM 162 73 0 17 Jun 2022
Colorectal cancer survival prediction using deep distribution based multiple-instance learning Xingyu Li J. Jonnagaddala M. Cen Kuanqi Cai Xuesong Xu 182 11 0 24 Apr 2022
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy SlidesFrontiers in Oncology (Front Oncol), 2021 Feng Xu Chuang Zhu Wenqi Tang Ying Wang Yu Zhang Jie Li Hongchuan Jiang Z. Shi Jun Liu M. Jin 236 63 0 04 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network Esther Dietrich Patrick Fuhlert Anne Ernst G. Sauter M. Lennartz H. Stiehl Marina Zimmermann Stefan Bonn 130 7 0 26 Nov 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images Boyu Zhang Aleksandar Vakanski Min Xian 109 14 0 05 Oct 2021
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning M. Bengs S. Pant M. Bockmayr U. Schüller Alexander Schlaefer 113 4 0 14 Sep 2021
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning Noriaki Hashimoto Y. Takagi Hiroki Masuda H. Miyoshi K. Kohno ... Yoshino Kawaguchi Shigeo Nakamura K. Ohshima H. Hontani Ichiro Takeuchi MedIm 280 20 0 08 Jul 2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma PredictionIEEE Transactions on Medical Imaging (IEEE TMI), 2021 Yan Wang Peng Tang Yuyin Zhou Wei Shen Elliot K. Fishman Alan Yuille MedIm 134 24 0 31 May 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and BeyondInformation Fusion (Inf. Fusion), 2021 Guang Yang Qinghao Ye Jun Xia 257 564 0 03 Feb 2021
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic DatasetIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 Erico Tjoa Cuntai Guan XAI FAtt 313 33 0 07 Sep 2020
Certainty Pooling for Multiple Instance Learning J. Gildenblat Ido Ben-Shaul Z. Lapp Eldad Klaiman 87 4 0 24 Aug 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide ImagesNature Biomedical Engineering (Nat Biomed Eng), 2020 Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Richard J. Chen Matteo Barbieri Faisal Mahmood 279 1,664 0 20 Apr 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological ImagesComputer Vision and Pattern Recognition (CVPR), 2020 Noriaki Hashimoto D. Fukushima R. Koga Yusuke Takagi Kaho Ko K. Kohno Masato Nakaguro S. Nakamura H. Hontani Ichiro Takeuchi MedIm 303 208 0 06 Jan 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyMachine Learning for Biomedical Imaging (MLBI), 2019 Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 304 74 0 08 Sep 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Erico Tjoa Cuntai Guan XAI 482 1,728 0 17 Jul 2019
Deep Instance-Level Hard Negative Mining Model for Histopathology ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Meng Li Lin Wu Arnold Wiliem Kun-li Zhao Teng Zhang Brian C. Lovell 188 37 0 24 Jun 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 151 228 0 15 Feb 2019