Automatic Detection of Coagulation of Blood in Brain Using Deep Learning Approach

Author:

Ashreetha B.,Harshith A.,Charan A. Sai Ram,Reddy A. Janardhan,Abhiram A.,Reddy B. Rajesh

Publisher

Springer Nature Singapore

Reference22 articles.

1. Zhang H, Zhang L, Zhang H, Wang Y, Qiu X (2020) Brain tumor classification using deep learning based on MRI images. J Med Imaging Health Inform 10(4):841–847

2. Kamnitsas K, Ledig C, Newcombe VFJ, Simpson JP, Kane AD, Menon DK, Rueckert D, Glocker B (2017) A comparison of 2D and 3D convolutional neural networks for brain tumor segmentation. In: Proceedings of the 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017). Melbourne, Australia, pp 324–328

3. Ronneberger O, Fischer P, Brox T (2015) Automated brain tumor detection and segmentation using U-Net based fully convolutional networks. In: Proceedings of the 18th international conference on medical image computing and computer-assisted intervention (MICCAI 2015). Munich, Germany, pp 234–241

4. Liu H, Liu Y, Zhang Y, Yang Y (2019) Brain tumor detection and classification using convolutional neural networks. In: Proceedings of the 2019 IEEE international conference on mechatronics and automation (ICMA). Tianjin, China, pp 472–477

5. Wang Z, Wang Y, Chen J (2020) A survey of deep learning-based brain tumor detection and segmentation. J Healthc Eng 2020(8895501):1–17

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