Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm
Author:
Funder
Princess Nourah Bint Abdulrahman University
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference92 articles.
1. Role of deep learning in brain tumor detection and classification (2015 to 2020): A review;Nazir;Comput. Med. Imaging Graph.,2021
2. Brain tumor classification in magnetic resonance images using deep learning and wavelet transform;Sarhan;J. Biomed. Sci. Eng.,2020
3. Optimization driven deep convolution neural network for brain tumor classification;Kumar;Biocybern. Biomed. Eng.,2020
4. MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification;Shahin;Expert Syst. Appl.,2023
5. A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms;Başaran;Comput. Biol. Med.,2022
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