Self-Supervised Equivariant Regularization Reconciles Multiple Instance
Learning: Joint Referable Diabetic Retinopathy Classification and Lesion
Segmentation

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation

12 October 2022

Oana Dumitrascu

Yalin Wang

Papers citing "Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation"

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 Yunhong Wang 39 0 0 21 Apr 2025
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing Wenjie Zhu Peijie Qiu Oana Dumitrascu Jacob Jacob Mohammad Farazi Zhangsihao Yang Keshav Nandakumar Yalin Wang MedIm 35 13 0 06 Feb 2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad M. Gürcan M. Niazi 32 11 0 18 Jan 2023
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation Yijin Huang Li Lin Pujin Cheng Junyan Lyu Roger Tam Xiaoying Tang 34 32 0 27 Oct 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 234 741 0 28 Mar 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,494 0 30 Nov 2016
Deep image mining for diabetic retinopathy screening G. Quellec K. Charrière Yassine Boudi B. Cochener M. Lamard MedIm 41 413 0 22 Oct 2016