Self-Supervised Similarity Learning for Digital Pathology

20 May 2019

Papers citing "Self-Supervised Similarity Learning for Digital Pathology"

11 / 11 papers shown

Title
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI Alexander Oberstrass Sascha E. A. Muenzing Meiqi Niu N. Palomero-Gallagher Christian Schiffer M. Axer K. Amunts Timo Dickscheid 14 3 0 30 Jan 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities Ricardo Gonzalez Ashirbani Saha Clinton J.V. Campbell Peyman Nejat Cynthia Lokker Andrew P. Norgan 33 13 0 06 Dec 2023
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
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 21 27 0 10 Feb 2023
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 21 25 0 10 Dec 2021
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers C. Saillard Olivier Dehaene Tanguy Marchand O. Moindrot A. Kamoun B. Schmauch S. Jégou 30 39 0 13 Sep 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection C. Abbet Linda Studer Andreas Fischer H. Dawson I. Zlobec Behzad Bozorgtabar Jean-Philippe Thiran OOD 37 31 0 20 Aug 2021
Resolution-Based Distillation for Efficient Histology Image Classification Joseph DiPalma A. Suriawinata L. Tafe Lorenzo Torresani Saeed Hassanpour 35 35 0 11 Jan 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 103 305 0 27 Nov 2020
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations Navid Alemi Koohbanani Balagopal Unnikrishnan S. Khurram Pavitra Krishnaswamy Nasir M. Rajpoot SSL 16 164 0 12 Aug 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 13 750 0 27 Aug 2019