Ensuring privacy protection in the era of big laparoscopic v…

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Ensuring privacy protection in the era of big laparoscopic video data: development and validation of an inside outside discrimination algorithm (IODA)

Article 2023 EN Hybrid

BACKGROUND: Laparoscopic videos are increasingly being used for surgical artificial intelligence (AI) and big data analysis. The purpose of this study was to ensure data privacy in video recordings of laparoscopic surgery by censoring extraabdominal parts. An inside-outside-discrimination algorithm (IODA) was developed to ensure privacy protection while maximizing the remaining video data. METHODS…

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11 authors
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1 A. Schulze University Hospital Heidelberg (DE) National Center for Tumor Dise… (DE)
2 D. Tran University Hospital Heidelberg (DE) National Center for Tumor Dise… (DE) —
3 Marie T. J. Daum University Hospital Heidelberg (DE) National Center for Tumor Dise… (DE) —
4 Anna Kisilenko University Hospital Heidelberg (DE) National Center for Tumor Dise… (DE)
5 Lena Maier‐Hein German Cancer Research Center (DE)
6 Stefanie Speidel Nationales Centrum für Tumorer… (DE) Centre for Tactile Internet wi… (DE) +1
7 Marius Distler University Hospital Carl Gusta… (DE) Technische Universität Dresden (DE)
8 Jürgen Weitz University Hospital Carl Gusta… (DE) Technische Universität Dresden (DE)
9 Beat Peter Müller-Stich —
10 Sebastian Bodenstedt Nationales Centrum für Tumorer… (DE) Centre for Tactile Internet wi… (DE) +1
11 Martin Wagner Corresponding University Hospital Heidelberg (DE) National Center for Tumor Dise… (DE) +3
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