Adaptive Loss and Deep Convolutional Neural Networks: A Blending Approach to Self-adaptive Deep Learning Models for Brain Tumor Classification
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1961-7_33
Reference20 articles.
1. Zhao Y et al (2023) Segmentation of brain tissues from MRI images using multitask fuzzy clustering algorithm. J Healthc Eng 2023:4387134. https://doi.org/10.1155/2023/4387134
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3. Sridhar S et al (2022) A torn ACL mapping in knee MRI images using deep convolution neural network with inception-v3. J Healthc Eng. https://doi.org/10.1155/2022/7872500
4. Arif M, Jims A, Ajesh A, Geman O, Craciun MD, Leuciuc F (2022) Application of genetic algorithm and U-net in brain tumor segmentation and classification: a deep learning approach. Comput Intell Neurosci. https://doi.org/10.1155/2022/5625757
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