HIGHLIGHTS
- What: Based on the results of the evaluation metrics, a comprehensive analysis and comparison of the performance of the five algorithm models were conducted to explore the potential application of deep learning techniques in the treatment of depressed patients under the acupuncture threshold . The study aimed to assess the consistency between the optimal model SEResNet101 and the SCID and MINI diagnostic tools for identifying subclinical depression.
- Who: Bo Han from the Santa Clara University, United States have published the research work: Evaluating deep learning techniques for identifying tongue features in subthreshold depression: a prospective observational . . .
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