A deep learning method for classifying tumors of the central nervous system

Chongxuan Tian; Yanbing Zhang; Zhenlei Zhang; Haoyuan An; Wei Li

doi:10.1117/12.2687779

28 August 2023 A deep learning method for classifying tumors of the central nervous system

Chongxuan Tian, Yanbing Zhang, Zhenlei Zhang, Haoyuan An, Wei Li

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127242M (2023) https://doi.org/10.1117/12.2687779
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

The development of deep learning has significantly altered computer vision and given rise to a wide range of pre-made training models. It is currently utilized often in medical pathology imaging. Histopathology image analysis with computer assistance can speed up diagnosis and increase precision. This study aims to address the issue of classifying images of central nervous system tumor pathology using a new deep learning network architecture (SPACH). Ultimately, our model had a classification accuracy of 92.5%.

Citation Download Citation

Chongxuan Tian, Yanbing Zhang, Zhenlei Zhang, Haoyuan An, and Wei Li "A deep learning method for classifying tumors of the central nervous system", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127242M (28 August 2023); https://doi.org/10.1117/12.2687779

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KEYWORDS

Tumors

Deep learning

Nervous system

Artificial intelligence

Diagnostics

Image analysis

Cross validation

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