Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models

28 February 2021

Papers citing "Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models"

50 / 209 papers shown

Title
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation Tyler Ward Aaron Moseley Abdullah-Al-Zubaer Imran SSL 219 0 0 25 May 2025
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Terrence Chen Shanhui Sun VLM 101 6 0 16 Aug 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation Cheng Xue Q. Deng Xuelong Li Qi Dou Pheng Ann Heng 52 27 0 05 Apr 2021
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images S. Sedai B. Antony Ravneet Rai K. Jones H. Ishikawa J. Schuman Gadi Wollstein R. Garnavi UQCV 50 88 0 02 Mar 2021
Contour Transformer Network for One-shot Segmentation of Anatomical Structures Yuhang Lu K. Zheng Weijian Li Yirui Wang Adam P. Harrison ... Song Wang Jing Xiao Le Lu C. Kuo S. Miao MedIm 109 22 0 02 Dec 2020
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets Jianpeng Zhang Yutong Xie Yong-quan Xia Chunhua Shen 134 157 0 20 Nov 2020
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters Sofie Tilborghs T. Dresselaers P. Claus J. Bogaert F. Maes 52 10 0 18 Oct 2020
Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach G. Algan ilkay Ulusoy Şaban Gönül Banu Turgut B. Bakbak NoLa 57 4 0 14 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger VLM 57 30 0 10 Oct 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 98 87 0 05 Sep 2020
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI Nicholas Byrne J. Clough Giovanni Montana A. King 28 27 0 21 Aug 2020
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging Pulkit Khandelwal Paul Yushkevich OOD 100 38 0 18 Aug 2020
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets Rui Huang Yuanjie Zheng Zhiqiang Hu Shaoting Zhang Hongsheng Li 64 53 0 17 Aug 2020
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images Zeyu Gao Pargorn Puttapirat Jiangbo Shi Chen Li 35 25 0 12 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 185 641 0 02 Aug 2020
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation Yanning Zhou Hao Chen Huangjing Lin Pheng-Ann Heng 44 48 0 21 Jul 2020
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images Shuailin Li Chuyu Zhang Xuming He 95 366 0 21 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 86 210 0 20 Jul 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation Yuexiang Li Jiawei Chen Xinpeng Xie Kai Ma Yefeng Zheng UQCV 64 95 0 20 Jul 2020
Self-similarity Student for Partial Label Histopathology Image Segmentation Hsien-Tzu Cheng Chun-Fu Yeh Po-Chen Kuo Andy Wei Keng-Chi Liu Mong-Chi Ko Kuan-Hua Chao Yu-Ching Peng Tyng-Luh Liu 100 20 0 19 Jul 2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images Hui Qu Pengxiang Wu Qiaoying Huang Jingru Yi Zhennan Yan Kang Li G. Riedlinger S. De Shaoting Zhang Dimitris N. Metaxas 55 159 0 10 Jul 2020
Anatomical Data Augmentation via Fluid-based Image Registration Zhengyang Shen Zhenlin Xu Sahin Olut Marc Niethammer MedIm 44 14 0 05 Jul 2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images I. Laradji Pau Rodríguez López Oscar Manas Keegan Lensink M. Law Lironne Kurzman William Parker David Vazquez Derek Nowrouzezahrai 60 85 0 04 Jul 2020
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices Guotai Wang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren Shaoting Zhang 66 34 0 02 Jul 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Yingda Xia Ke Wang Zhiding Yu Fengze Liu Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth OOD 69 214 0 28 Jun 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders Agostina J. Larrazabal Cesar E. Martínez Ben Glocker Enzo Ferrante 103 67 0 24 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation Chen Chen C. Qin Huaqi Qiu Cheng Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 65 84 0 23 Jun 2020
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency Hyeonsoo Lee Won-Ki Jeong 70 114 0 23 Jun 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 89 552 0 18 Jun 2020
Cardiac Segmentation with Strong Anatomical Guarantees Nathan Painchaud Youssef Skandarani Thierry Judge Olivier Bernard A. Lalande Pierre-Marc Jodoin 58 101 0 15 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 101 652 0 11 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 101 214 0 06 Jun 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 65 41 0 27 May 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review Marco Toldo Andrea Maracani Umberto Michieli Pietro Zanuttigh SSeg 135 183 0 21 May 2020
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation Jun Liu X. Tai Shousheng Luo 36 13 0 15 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 89 228 0 15 May 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 56 15 0 25 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao 51 973 0 22 Apr 2020
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts Gaurav Fotedar Nima Tajbakhsh Shilpa P. Ananth Xiaowei Ding 47 17 0 15 Apr 2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision H. Kervadec Jose Dolz Shanshan Wang Eric Granger Ismail Ben Ayed 70 85 0 14 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 F. Shi Jun Wang Jun Shi Zi-xiang Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi Dinggang Shen 106 1,058 0 06 Apr 2020
Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 46 48 0 01 Apr 2020
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation Shuxin Wang Shilei Cao Dong Wei Renzhen Wang Kai Ma Liansheng Wang Deyu Meng Yefeng Zheng 96 55 0 16 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 381 18,866 0 13 Feb 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Cheng Chen Qi Dou Hao Chen J. Qin Pheng Ann Heng 111 316 0 06 Feb 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 137 581 0 28 Dec 2019
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data Jeya Maria Jose Valanarasu R. Yasarla Puyang Wang Ilker Hacihaliloglu Vishal M. Patel 56 30 0 18 Dec 2019
Multimodal Self-Supervised Learning for Medical Image Analysis Aiham Taleb C. Lippert T. Klein Moin Nabi SSL 73 98 0 11 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 95 543 0 05 Dec 2019