Semi-Supervised Learning Using Co-Generative Adversarial Network (Co-GAN) for Medical Image Segmentation
Medical image analysis has experienced different stages of development, especially with the emergence of deep learning. However, acquiring large-scale, high-quality labeled data to train a deep learning model takes time and effort. This paper proposes a semisupervised learning method for medical ima...
| Published in: | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
INST INFORMATION SCIENCE
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001309309000010 |