A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis

Deep learning diagnosis system possesses improved brain tumor classification and segmentation with interpretable outcomes by utilizing XAI techniques. Deployment as a web tool and a user-friendly interface made it suitable for clinical usage in radiology workflows.

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Publication Details

Journal
Neurology International
Published
2025-08-04
DOI
https://doi.org/10.3390/neurolint17080121
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis

İsmail Böğrekçi, Pınar Demircioğlu, Serra Aksoy
Neurology International
Brain Tumor Detection and Classification
article

A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis

İsmail Böğrekçi, Pınar Demircioğlu, Serra Aksoy
article en

Abstract

Deep learning diagnosis system possesses improved brain tumor classification and segmentation with interpretable outcomes by utilizing XAI techniques. Deployment as a web tool and a user-friendly interface made it suitable for clinical usage in radiology workflows.

Neurology InternationalVol. 17(8)
Adnan Menderes University (TR), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 75%
Brain Tumor Detection and Classification
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