Fusion-Brain-Net: A Novel Deep Fusion Model for Brain Tumor Classification

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dc.contributor.authorKaya, Yasin
dc.contributor.authorAkat, Ezgisu
dc.contributor.authorYildirim, Serdar
dc.date.accessioned2026-02-27T07:32:57Z
dc.date.available2026-02-27T07:32:57Z
dc.date.issued2025
dc.description.abstractProblem: Brain tumors are among the most prevalent and lethal diseases. Early diagnosis and precise treatment are crucial. However, the manual classification of brain tumors is a laborious and complex task. Aim: This study aimed to develop a fusion model to address certain limitations of previous works, such as covering diverse image modalities in various datasets. Method: We presented a hybrid transfer learning model, Fusion-Brain-Net, aimed at automatic brain tumor classification. The proposed method included four stages: preprocessing and data augmentation, fusion of deep feature extractions, fine-tuning, and classification. Integrating the pre-trained CNN models, VGG16, ResNet50, and MobileNetV2, the model enhanced comprehensive feature extraction while mitigating overfitting issues, improving the model's performance. Results: The proposed model was rigorously tested and verified on four public datasets: Br35H, Figshare, Nickparvar, and Sartaj. It achieved remarkable accuracy rates of 99.66%, 97.56%, 97.08%, and 93.74%, respectively. Conclusion: The numerical results highlight that the model should be further investigated for potential use in computer-aided diagnoses to improve clinical decision-making.
dc.identifier.doi10.1002/brb3.70520
dc.identifier.issn2162-3279
dc.identifier.issue5
dc.identifier.pmid40341828
dc.identifier.urihttp://dx.doi.org/10.1002/brb3.70520
dc.identifier.urihttps://hdl.handle.net/20.500.14669/4397
dc.identifier.volume15
dc.identifier.wosWOS:001484364400001
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofBrain and Behavior
dc.relation.publicationcategoryMakale - Uluslararas� Hakemli Dergi - Kurum ��retim Eleman�
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20260302
dc.subjectbrain tumor classification
dc.subjectfusion of CNN
dc.subjecttransfer learning
dc.titleFusion-Brain-Net: A Novel Deep Fusion Model for Brain Tumor Classification
dc.typeArticle

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