Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Lei Zhu; Kaiyuan Yang; Meihui Zhang; Ling Ling Chan; Teck Khim Ng; Beng Chin Ooi

doi:10.1007/978-3-030-87196-3_37

ScienceGate Book Chapters

BOOK-CHAPTER

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Lei Zhu Kaiyuan Yang Meihui Zhang Ling Ling Chan Teck Khim Ng Beng Chin Ooi

Year: 2021 Lecture notes in computer science Pages: 394-404 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-87196-3_37

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Segmentation Deep learning Modalities Modality (human–computer interaction) Leverage (statistics) Image segmentation Machine learning Pattern recognition (psychology) Overfitting Artificial neural network

Metrics

Cited By

6.02

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Metrics

Citation History

Topics

Related Documents

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation

Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation

Semi-supervised Multi-modal Medical Image Segmentation for Complex Situations

Semi-supervised multi-modal medical image segmentation with unified translation