Corpus ID: 235490317

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

@article{Mascagni2021SurgicalDS,
  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},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.10916}
}
Correspondence to: Pietro Mascagni, M.D., p.mascagni@unistra.fr 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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Surgical Data Science - from Concepts toward Clinical Translation
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