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 semi-supervised learning method for medical im...
| Published in: | Journal of Information Science and Engineering |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Information Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196768397&doi=10.6688%2fJISE.202409_40%285%29.0010&partnerID=40&md5=620055c7613c3b28b37b56ef51244047 |