Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential

9 June 2022

Papers citing "Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential"

7 / 7 papers shown

Title
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction Yingxue Xu Fengtao Zhou Chenyu Zhao Yihui Wang Can Yang Hao Chen VLM OffRL 52 0 0 03 Mar 2025
Robust sensitivity control in digital pathology via tile score distribution matching Arthur Pignet John Klein Geneviève Robin Antoine Olivier OOD 60 0 0 27 Feb 2025
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification Bryan Wong MunYong Yi Mun Yong Yi VLM 50 0 0 02 Aug 2024
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection Yunan Wu Francisco M. Castro-Macías Pablo Morales-Álvarez Rafael Molina Aggelos K. Katsaggelos 11 2 0 18 Jul 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 50 76 0 13 Mar 2023
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 16 20 0 22 Sep 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,404 0 04 Jan 2021