Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation
Brain tumor segmentation is critical for effective diagnosis and treatment planning. While, conventional manual segmentation techniques are seen inefficient and variable, highlighting the need for automated methods. This study enhances medical image analysis, particularly in brain tumor segmentation...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Komunitas Ilmuwan dan Profesional Muslim Indonesia
2024-12-01
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Series: | Communications in Science and Technology |
Subjects: | |
Online Access: | https://cst.kipmi.or.id/journal/article/view/1477 |
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