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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| 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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