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...

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Veröffentlicht in:	Journal of Information Science and Engineering 2024-09, Vol.40 (5), p.1071-1092
Hauptverfasser:	Li, Guo-Qin, Jamil, Nursuriati, Hamzah, Raseeda
Format:	Artikel
Sprache:	eng
Schlagworte:	Data acquisition Deep learning Generative adversarial networks Image acquisition Image analysis Image quality Image segmentation Machine learning Medical imaging Semi-supervised learning
Online-Zugang:	Volltext
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