Deep learning in endoscopy: the importance of standardisation
In recent years, there has been an explosion of interest in the use of deep learning (DL) for medical image analysis. Different DL architectures have been proposed to address a variety of tasks, including image classification, object detection, segmentation and characterisation 1. These advancements have led to significant progress in assisting clinicians in the evaluation of endoscopic frames, giving birth to a field of artificial intelligence-associated applications called “videomics” 2. However, a major challenge is that the performance of these methods is often not directly comparable among different institutions/ series because of the lack of standardised evaluation methodology.
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© Società Italiana di Otorinolaringoiatria e chirurgia cervico facciale , 2023
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