Endoscopy artifact detection (EAD 2019) challenge dataset

8 May 2019Sharib AliFelix ZhouChristian DaulBarbara BradenAdam BaileyStefano RealdonJames EastGeorges WagnièresVictor LoschenovEnrico GrisanWalter BlondelJens Rittscher

Endoscopic artifacts are a core challenge in facilitating the diagnosis and treatment of diseases in hollow organs. Precise detection of specific artifacts like pixel saturations, motion blur, specular reflections, bubbles and debris is essential for high-quality frame restoration and is crucial for realizing reliable computer-assisted tools for improved patient care... (read more)

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