Advancements in Semi-Supervised Deep Learning for Brain Tumor Segmentation in MRI: A Literature Review

For automatic tumor segmentation in magnetic resonance imaging (MRI), deep learning offers very powerful technical support with significant results. However, the success of supervised learning is strongly dependent on the quantity and accuracy of labeled training data, which is challenging to acquir...

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Bibliographic Details
Main Authors: Chengcheng Jin, Theam Foo Ng, Haidi Ibrahim
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AI
Subjects:
Online Access:https://www.mdpi.com/2673-2688/6/7/153
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