Su-MICL: Severity-Guided Multiple Instance Curriculum Learning for Histopathology Image Interpretable Classification

Author:

Yang Mei1ORCID,Xie Zhiying2,Wang Zhaoxia2,Yuan Yun2,Zhang Jue3ORCID

Affiliation:

1. Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

2. Department of Neurology, Peking University First Hospital, Beijing, China

3. College of Engineering, Peking University, Beijing, China

Funder

Beijing Municipal Science and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference50 articles.

1. Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

2. Automated curriculum learning for neural networks;graves;Proc ICML,2017

3. Computer-aided diagnosis from weak supervision: A benchmarking study

4. Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

5. SparseConvMIL: Sparse convolutional context-aware multiple instance learning for whole slide image classification;vakalopoulou;Proc MICCAI,2021

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