Brain Tumor Classification Using FCM, DenseNet, and SVM with Transfer Learning Techniques
Brain tumor classification is a critical task in medical imaging, aimed at distinguishing between different tumor types for timely diagnosis and treatment planning. This study presents a hybrid approach that combines Fuzzy C-Means (FCM) clustering, DenseNet architecture, and Support Vector Machine (...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01035.pdf |
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