ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation

In medical image analysis, semi-supervised learning is an effective method to extract knowledge from a small amount of labeled data and a large amount of unlabeled data. This paper focuses on a popular pipeline known as self learning, and points out a weakness named lazy learning that refers to the...

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Hauptverfasser:	Huo, Xinyue, Xie, Lingxi, He, Jianzhong, Yang, Zijie, Tian, Qi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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