A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels

31 July 2018

Shaobo Min

Papers citing "A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels"

33 / 33 papers shown

Title
SP ${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation Shiman Li Jiayue Zhao Shaolei Liu Xiaokun Dai Chenxi Zhang Zhijian Song 78 0 0 18 Nov 2024
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs Qixiang Ma Antoine Lucas Huazhong Shu A. Kaladji P. Haigron 24 0 0 05 Feb 2024
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 37 12 0 10 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 33 20 0 09 Oct 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 51 13 0 23 Aug 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 26 6 0 26 Jul 2023
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 19 16 0 29 May 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 27 6 0 07 Feb 2023
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy Gihun Lee Sangmook Kim Joonkee Kim Se-Young Yun MedIm 17 18 0 07 Dec 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 21 151 0 28 Jul 2022
Two-Stream UNET Networks for Semantic Segmentation in Medical Images Xin Chen Ke Ding 6 0 0 27 Jul 2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training Cheng Xue Lequan Yu Pengfei Chen Qi Dou Pheng-Ann Heng NoLa 8 52 0 10 May 2022
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks Yaoru Luo Guo-Shuai Liu Yuanhao Guo Ge Yang NoLa 6 1 0 30 Apr 2022
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate Doruk Öner Leonardo Citraro Mateusz Koziñski Pascal Fua 3DH 3DPC 26 2 0 06 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Rushi Jiao Qingcheng Liao Dongyang Li Jicong Zhang 20 56 0 05 Dec 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 4 2 0 21 Nov 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 26 104 0 07 Oct 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya-Qin Zhang Xin Chen Qi Tian 20 5 0 07 Sep 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 11 32 0 21 Jun 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey Changhee Han Takayuki Okamoto Koichi Takeuchi Dimitris Katsios Andrey Grushnikov Masaaki Kobayashi Antoine Choppin Yuta Kurashina Yuki Shimahara 14 2 0 02 Jun 2021
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation M. Kazemimoghadam W. Chi A. Rahimi Nathan Kim P. Alluri C. Nwachukwu Wei Lu X. Gu 14 8 0 06 May 2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation Yaoru Luo Guole Liu Yuanhao Guo Ge Yang NoLa 14 9 0 22 Mar 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Jicong Zhang SSL 28 38 0 08 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation Ziyuan Zhao Zeng Zeng Kaixin Xu Cen Chen Cuntai Guan 21 65 0 22 Jan 2021
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction A. Saha M. Hosseinzadeh Henkjan Huisman MedIm 40 129 0 08 Jan 2021
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 22 41 0 27 May 2020
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation Ashwin Raju Chi-Tung Cheng Yunakai Huo Jinzheng Cai Junzhou Huang Jing Xiao Le Lu Chien-Han Liao Adam P. Harrison 21 27 0 27 May 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
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 16 750 0 27 Aug 2019
Convolutional Poisson Gamma Belief Network Chaojie Wang Bo Chen Sucheng Xiao Mingyuan Zhou 19 15 0 14 May 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 32 178 0 27 Mar 2019
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation Alexandre Ramé Emilien Garreau H. Ben-younes Charles Ollion ObjD 35 17 0 06 Dec 2018