Deep learning in endoscopy: the importance of standardisation

Acta Otorhinolaryngol Ital. 2023 Dec;43(6):430-432. doi: 10.14639/0392-100X-N2580. Epub 2023 Oct 10.

Alberto Paderno^{1

2}, Francesca Pia Villani³, Alessandra Sordi^{1

2}, Claudia Montenegro^{1

2}, Sara Moccia^{4

5}

¹ Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy.
² Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, School of Medicine, Brescia, Italy.
³ Department of Humanities, Università degli Studi di Macerata, Macerata, Italy.
⁴ The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
⁵ Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Abstract

Deep learning in endoscopia: l’importanza della standardizzazione.

Keywords: computer vision; deep learning; endoscopy; larynx; outcomes.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.