ProtoMIL: Multiple Instance Learning with Prototypical Parts for
Whole-Slide Image Classification

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification

24 August 2021

Dawid Rymarczyk

Aneta Kaczyńska

Bartosz Zieliñski

Papers citing "ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification"

8 / 8 papers shown

Title
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 59 650 0 02 Jun 2021
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks Adrian Hoffmann Claudio Fanconi Rahul Rade Jonas Köhler 34 63 0 05 May 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim Siwon Kim Minji Seo Sungroh Yoon ViT FAtt 30 114 0 19 Mar 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 122 311 0 27 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 46 599 0 17 Nov 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 53 317 0 05 Feb 2020
Interpretable Image Recognition with Hierarchical Prototypes Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 34 111 0 25 Jun 2019
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 24 59 0 12 Jun 2019