Corpus ID: 235490317

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

  title={Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety},
  author={Pietro Mascagni and Deepak Alapatt and Alain Garcia and Nariaki Okamoto and Armine Vardazaryan and Guido Costamagna and Bernard Dallemagne and Nicolas Padoy},
Correspondence to: Pietro Mascagni, M.D., This work was partially supported by French State Funds managed by the “Agence Nationale de la Recherche (ANR)” through the “Investissements d’Avenir” (Investments for the Future) Program under Grant ANR-10-IAHU-02 (IHU-Strasbourg) and through the National AI Chair program under Grant ANR-20-CHIA-0029-01 (Chair AI4ORSafety). Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and… Expand
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