CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation-Reference-Cited by-同舟云学术

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation

Published:2023-10-01 Issue: Volume:30 Page:21369-21380
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Miao Juzheng¹,Chen Cheng²,Liu Furui³,Wei Hao⁴,Heng Pheng-Ann¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Computer Science and Engineering

2. Harvard Medical School and Massachusetts General Hospital,Center for Advanced Medical Computing and Analysis

3. Zhejiang Lab

4. The Chinese University of Hong Kong,Department of Biomedical Engineering

Funder

Innovation and Technology Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376893.pdf?arnumber=10376893

Reference55 articles.

1. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

2. Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

3. Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

4. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge;Bakas,2018

5. Brats miccai brain tumor dataset;Bakas,2020

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-attentional causal intervention networks for medical image diagnosis;Knowledge-Based Systems;2024-09

2. Confidence-Enhanced Semi-supervised Learning for Mediastinal Neoplasm Segmentation¹;2024-07-23

3. Deep semi-supervised learning for medical image segmentation: A review;Expert Systems with Applications;2024-07

4. ConvNextUNet: A small-region attentioned model for cardiac MRI segmentation;Computers in Biology and Medicine;2024-07

5. Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation;Computers in Biology and Medicine;2024-06