Additionally, the integration of this deep learning model revealed a positive trend in diagnostic alignment between junior and senior radiologists, indicating its potential as a valuable adjunct in enhancing radiological interpretations and minimizing errors stemming from inexperience.
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Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study.
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