Transparent brain tumor detection using DenseNet169 and LIME

Transparent brain tumor detection using DenseNet169 and LIME

Abstract A crucial area of research in the field of medical imaging is that of brain tumor classification, which greatly aids diagnosis and facilitates treatment planning. This paper proposes DenseNet169-LIME-TumorNet, a model based on deep learning and an integrated combination of DenseNet169 with...

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Bibliographic Details
Main Authors: Lincy Annet Abraham, Gopinath Palanisamy, Goutham Veerapu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Brain tumor detection
Deep learning
DenseNet169
Local Interpretable Model-agnostic Explanations (LIME)
Medical imaging
Transfer learning
Online Access:https://doi.org/10.1038/s41598-025-13233-7
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https://doi.org/10.1038/s41598-025-13233-7

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