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Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence
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 misdiagnosis of CR...
Autores principales: | Wang, K. S., Yu, G., Xu, C., Meng, X. H., Zhou, J., Zheng, C., Deng, Z., Shang, L., Liu, R., Su, S., Zhou, X., Li, Q., Li, J., Wang, J., Ma, K., Qi, J., Hu, Z., Tang, P., Deng, J., Qiu, X., Li, B. Y., Shen, W. D., Quan, R. P., Yang, J. T., Huang, L. Y., Xiao, Y., Yang, Z. C., Li, Z., Wang, S. C., Ren, H., Liang, C., Guo, W., Li, Y., Xiao, H., Gu, Y., Yun, J. P., Huang, D., Song, Z., Fan, X., Chen, L., Yan, X., Huang, Z. C., Huang, J., Luttrell, J., Zhang, C. Y., Zhou, W., Zhang, K., Yi, C., Wu, C., Shen, H., Wang, Y. P., Xiao, H. M., Deng, H. W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986569/ https://www.ncbi.nlm.nih.gov/pubmed/33752648 http://dx.doi.org/10.1186/s12916-021-01942-5 |
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