SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image
Classification

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification

31 October 2023

Wenhui Zhu

Yalin Wang

Aristeidis Sotiras

Papers citing "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"

7 / 7 papers shown

Title
How Effective Can Dropout Be in Multiple Instance Learning ? Wenhui Zhu Peijie Qiu Xiwen Chen Zhangsihao Yang Aristeidis Sotiras Abolfazl Razi Yanjie Wang 37 0 0 21 Apr 2025
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification Wenhui Zhu Xiwen Chen Peijie Qiu Aristeidis Sotiras Abolfazl Razi Yalin Wang 37 5 0 04 Jul 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning Xiwen Chen Peijie Qiu Wenhui Zhu Huayu Li Hao Wang Aristeidis Sotiras Yalin Wang Abolfazl Razi AI4TS 37 7 0 06 May 2024
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling Ashish Bastola Hao Wang Xiwen Chen Abolfazl Razi 31 0 0 26 Mar 2024
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification Honglin Li Chenglu Zhu Yunlong Zhang Yuxuan Sun Zhongyi Shui Wenwei Kuang S. Zheng L. Yang 69 57 0 15 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 57 79 0 13 Mar 2023
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks Xiaomin Zhou Chen Li M. Rahaman Yudong Yao Shiliang Ai Changhao Sun Xiaoyan Li Qian Wang Tao Jiang 59 135 0 27 Mar 2020