LOBO Optimization-Tuned Deep-Convolutional Neural Network for Brain Tumor Classification Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12204-023-2625-8.pdf
Reference25 articles.
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2. TANDEL G S, BALESTRIERI A, JUJARAY T, et al. Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm [J]. Computers in Biology and Medicine, 2020, 122: 103804.
3. OTHMAN M F, BASRI M A M. Probabilistic neural network for brain tumor classification [C]//2011 Second International Conference on Intelligent Systems, Modelling and Simulation. Phnom Penh: IEEE, 2011: 136–138.
4. CHENG J, HUANG W, CAO S, et al. Enhanced performance of brain tumor classification via tumor region augmentation and partition [J]. PLoS One, 2015, 10(10): e0140381.
5. SACHDEVA J, KUMAR V, GUPTA I, et al. Segmentation, feature extraction, and multiclass brain tumor classification [J]. Journal of Digital Imaging, 2013, 26(6): 1141–1150.
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