ENDOSCAPES, A CRITICAL VIEW OF SAFETY AND SURGICAL SCENE SEGMENTATION DATASET FOR LAPAROSCOPIC CHOLECYSTECTOMY

Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy

Abstract Minimally invasive image-guided surgery heavily relies on vision.Deep learning models for surgical video analysis can support surgeons in visual tasks such as assessing the critical view of safety (CVS) in laparoscopic cholecystectomy, potentially contributing to surgical safety and efficiency.However, the performance, reliability, and rep

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Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model

Abstract Objectives COVID-19 epidemics often lead to elevated levels of depression.To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed spidertattooz.com a depression prediction model based on multiple machine learning algorithms and validated its effectiveness.Metho

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