Unsupervised Feature Clustering Improves Contrastive Representation
Learning for Medical Image Segmentation

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation

15 November 2022

Nishchal Sapkota

Papers citing "Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation"

17 / 17 papers shown

Title
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao Chaoli Wang Danny Chen 48 23 0 10 Jul 2021
Positional Contrastive Learning for Volumetric Medical Image Segmentation Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Haiyun Yuan Meiping Huang Zhuang Jian Jingtong Hu Yiyu Shi 65 91 0 16 Jun 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 56 83 0 21 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 110 515 0 13 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 165 65 0 13 Jan 2021
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 43 47 0 25 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 83 86 0 11 Oct 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis Xiaomeng Li M. Jia Md Tauhidul Islam Lequan Yu Lei Xing 66 110 0 21 Jul 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 66 65 0 14 Jul 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 83 552 0 18 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images Xiaocong Chen Lina Yao Tao Zhou Jinming Dong Yu Zhang 60 170 0 16 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 366 6,797 0 13 Jun 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 475 3,427 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 364 18,752 0 13 Feb 2020
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 91 2,077 0 13 Oct 2017
Self-Supervised Learning for Spinal MRIs A. Jamaludin T. Kadir Andrew Zisserman SSL 66 77 0 01 Aug 2017