Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation

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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Bibliographic Details
Main Authors: Dian Nova Kusuma Hardani, Igi Ardiyanto, Hanung Adi Nugroho
Format: Article
Language:English
Published: Komunitas Ilmuwan dan Profesional Muslim Indonesia 2024-12-01
Series:Communications in Science and Technology
Subjects:
brain tumor segmentation
3d u-net
explainable ai
class activation mapping
deep learning
medical imaging
Online Access:https://cst.kipmi.or.id/journal/article/view/1477
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https://cst.kipmi.or.id/journal/article/view/1477

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