A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images
The life span and quality of a patient are greatly diminished by a brain tumor, a type of cancer. For patients, early diagnosis and effective treatment are very significant in this respect. To assist medical professionals in this difficult and error-prone process and improve both the accuracy and in...
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5412 |
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| author | Esra Gundogan |
| author_facet | Esra Gundogan |
| author_sort | Esra Gundogan |
| collection | DOAJ |
| description | The life span and quality of a patient are greatly diminished by a brain tumor, a type of cancer. For patients, early diagnosis and effective treatment are very significant in this respect. To assist medical professionals in this difficult and error-prone process and improve both the accuracy and interpretability of the model, this study proposes a new hybrid deep learning model enhanced with explainable artificial intelligence for brain tumor multi-classification from MRI images. It integrates a customized CNN model for feature extraction from images and the optimized XGBoost method with high classification success. It also incorporates Grad-CAM, which makes the black-box structure of the model transparent and the decision-making process more understandable. The proposed model classified four different brain tumors, namely glioma, meningioma, notumor and pituitary, with 99.77% accuracy and demonstrated superior performance when compared with existing methods. The results show that a robust, interpretable and high-performance hybrid classification model has been developed for brain tumor detection. |
| format | Article |
| id | doaj-art-af7b23e46a7649b2aaf47c9099dba78c |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-af7b23e46a7649b2aaf47c9099dba78c2025-08-20T01:56:20ZengMDPI AGApplied Sciences2076-34172025-05-011510541210.3390/app15105412A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI ImagesEsra Gundogan0Software Engineering Department, Firat University, 23190 Elazig, TurkeyThe life span and quality of a patient are greatly diminished by a brain tumor, a type of cancer. For patients, early diagnosis and effective treatment are very significant in this respect. To assist medical professionals in this difficult and error-prone process and improve both the accuracy and interpretability of the model, this study proposes a new hybrid deep learning model enhanced with explainable artificial intelligence for brain tumor multi-classification from MRI images. It integrates a customized CNN model for feature extraction from images and the optimized XGBoost method with high classification success. It also incorporates Grad-CAM, which makes the black-box structure of the model transparent and the decision-making process more understandable. The proposed model classified four different brain tumors, namely glioma, meningioma, notumor and pituitary, with 99.77% accuracy and demonstrated superior performance when compared with existing methods. The results show that a robust, interpretable and high-performance hybrid classification model has been developed for brain tumor detection.https://www.mdpi.com/2076-3417/15/10/5412brain tumor classificationdeep learningGrad-CAMXAIXGBoost |
| spellingShingle | Esra Gundogan A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images Applied Sciences brain tumor classification deep learning Grad-CAM XAI XGBoost |
| title | A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images |
| title_full | A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images |
| title_fullStr | A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images |
| title_full_unstemmed | A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images |
| title_short | A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images |
| title_sort | novel hybrid deep learning model enhanced with explainable ai for brain tumor multi classification from mri images |
| topic | brain tumor classification deep learning Grad-CAM XAI XGBoost |
| url | https://www.mdpi.com/2076-3417/15/10/5412 |
| work_keys_str_mv | AT esragundogan anovelhybriddeeplearningmodelenhancedwithexplainableaiforbraintumormulticlassificationfrommriimages AT esragundogan novelhybriddeeplearningmodelenhancedwithexplainableaiforbraintumormulticlassificationfrommriimages |