ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
Pathology Images

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

14 July 2022

Jianhua Yao

Papers citing "ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images"

6 / 6 papers shown

Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Yicheng Song Tiancheng Lin Die Peng Su Yang Yi Xu MedIm 31 0 0 10 May 2025
Rotation-Agnostic Image Representation Learning for Digital Pathology Saghir Alfasly A. Shafique Peyman Nejat Jibran A. Khan Areej Alsaafin Ghazal Alabtah H. R. Tizhoosh MedIm 24 6 0 14 Nov 2023
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology Jingwei Zhang S. Kapse Ke Ma Prateek Prasanna Maria Vakalopoulou Joel H. Saltz Dimitris Samaras 24 9 0 23 Dec 2022
Instance Localization for Self-supervised Detection Pretraining Ceyuan Yang Zhirong Wu Bolei Zhou Stephen Lin ViT SSL 100 145 0 16 Feb 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 188 250 0 11 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020