A deep learning method for classifying tumors of the central nervous system
Chongxuan Tian, Yanbing Zhang, Zhenlei Zhang, Haoyuan An, Wei Li · 2023
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%.