A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 12; p. 3893
• Main Authors: Chen, Shaolong, Zhang, Zhiyong
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2024; MDPI
• Subjects: active learning; Algorithms; Annotations; Data mining; Datasets; Deep learning; Efficiency; Machine learning; magnetic resonance image; Magnetic resonance imaging; Medical imaging equipment; Medical research; semi-automatic annotation; semi-supervised learning; weakly supervised learning; magnetic resonance image; semi-automatic annotation; active learning; semi-supervised learning; weakly supervised learning

The annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image annotation. However, the existing semi-automatic ann...