Medicine and Health
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
P. Xue, J. Wang, et al.
This groundbreaking meta-analysis investigates the efficacy of deep learning algorithms in the early detection of breast and cervical cancers. The research, conducted by a team of experts including Peng Xue and Jiaxu Wang, reveals a pooled sensitivity of 88% and specificity of 84%. However, the study highlights the need for standardized guidelines to ensure the reliability of these algorithms.
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