Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation

Saidi Guo; Zhaoshan Liu; Ziduo Yang; Chau Hung Lee; Qiujie Lv; Lei Shen

doi:10.1016/j.neunet.2024.107095

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation

Saidi Guo Zhaoshan Liu Ziduo Yang Chau Hung Lee Qiujie Lv Lei Shen

Year: 2024 Journal: Neural Networks Vol: 184 Pages: 107095-107095 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.107095

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Computer science Segmentation Scale (ratio) Object (grammar) Pattern recognition (psychology) Consistency (knowledge bases) Image segmentation Computer vision Image (mathematics) Geography Cartography

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.61

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation

Metrics

Citation History

Topics

Related Documents

Medical Image Segmentation Based on Semi-Supervised Multi-Scale Consistency Learning

Semi-supervised medical image segmentation method using multi-scale consistency adversarial learning

Multi-scale consistency adversarial learning for semi-supervised 3D medical image segmentation

Multi-Perturbation Consistency Learning for Semi-Supervised Medical Image Segmentation

Multi-scale reciprocal consistency learning for semi-supervised left atrial segmentation