Work

Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation

Year: 2024

Type: article

Abstract: Existing semi-supervised medical image segmentation algorithms use copy-paste data augmentation to correct the labeled-unlabeled data distribution mismatch. However, current copy-paste methods have three limitations: (1) trai... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2024.056478

Authors: Hengyang Liu, Pengcheng Ren, Chengyun Song, Yang Yuan, Fen Luo

Institutions: Chongqing Technology and Business University, Chongqing University of Technology

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Award: G1381710697