ResNet-50 based deep neural network using transfer learning for brain tumor classification

Author:

Sahaai Madona B.,Jothilakshmi G. R.,Ravikumar D.,Prasath Raghavendra,Singh Saurav

Publisher

AIP Publishing

Reference19 articles.

1. He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian, “Deep Residual Learning for Image Recognition,” In Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778 (2016).

2. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods

3. Akiba, Takuya Suzuki, Shuji Fukuda, Keisuke, “Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes,” arXiv preprint arXiv:1711.04325 (2017).

4. Zhang, Jiachi, Shen, Xiaolei, Zhuo, Tianqi and Zhou, Hong, “Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss,” arXiv preprint arXiv:1712.09093 (2017).

5. Ray, S., “Disease Classification within Dermascopic Images Using features extracted by ResNet50 and classification through Deep Forest,” ArXiv, abs/1807.05711 (2018).

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