Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence

Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence

Abstract Background Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients’ treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnos...

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Bibliographic Details
Main Authors: K. S. Wang, G. Yu, C. Xu, X. H. Meng, J. Zhou, C. Zheng, Z. Deng, L. Shang, R. Liu, S. Su, X. Zhou, Q. Li, J. Li, J. Wang, K. Ma, J. Qi, Z. Hu, P. Tang, J. Deng, X. Qiu, B. Y. Li, W. D. Shen, R. P. Quan, J. T. Yang, L. Y. Huang, Y. Xiao, Z. C. Yang, Z. Li, S. C. Wang, H. Ren, C. Liang, W. Guo, Y. Li, H. Xiao, Y. Gu, J. P. Yun, D. Huang, Z. Song, X. Fan, L. Chen, X. Yan, Z. C. Huang, J. Huang, J. Luttrell, C. Y. Zhang, W. Zhou, K. Zhang, C. Yi, C. Wu, H. Shen, Y. P. Wang, H. M. Xiao, H. W. Deng
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Medicine
Subjects:
Colorectal cancer
Histopathology image
Deep learning
Cancer diagnosis
Online Access:https://doi.org/10.1186/s12916-021-01942-5

Internet

https://doi.org/10.1186/s12916-021-01942-5

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