Instance-aware Self-supervised Learning for Nuclei Segmentation

22 July 2020

Papers citing "Instance-aware Self-supervised Learning for Nuclei Segmentation"

7 / 7 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
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 24 27 0 10 Feb 2023
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images Pingyi Chen Chenglu Zhu Zhongyi Shui Jiatong Cai S. Zheng Shichuan Zhang L. Yang 19 4 0 14 Oct 2022
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review Esha Sadia Nasir Arshi Parvaiz M. Fraz 23 14 0 26 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 25 56 0 18 Aug 2022
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification Yang Luo Zhineng Chen Shengtian Zhou Xieping Gao 31 1 0 31 Mar 2022
Unsupervised Data-Driven Nuclei Segmentation For Histology Images Vasileios Magoulianitis Peida Han Yijing Yang C.-C. Jay Kuo 18 2 0 14 Oct 2021