A hybrid deep CNN model for brain tumor image multi-classification

A hybrid deep CNN model for brain tumor image multi-classification

Abstract The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, and susceptible to manual errors. These limitations underscore the pressing need for a fully automated, deep-learning-based multi-class...

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Bibliographic Details
Main Authors: Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Imaging
Subjects:
Brain tumor grading
Hybrid deep learning
Hybrid convolutional neural network
Grid search
Hyperparameters
Online Access:https://doi.org/10.1186/s12880-024-01195-7

Internet

https://doi.org/10.1186/s12880-024-01195-7

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