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A research project for better polyp detection and classifiation funded by the Spanish Ministry of Science and Innovation through the Challenges of Society 2017 (DPI2017-87494-R) and Proof of Concept 2021 (PDC2021-121644-I00) projects calls of the State R+D+I Program Oriented to the Challenges of Society
PolyDeep is a research project that seeks to improve the detection and classification of colorectal polyps through colonoscopies.
To achieve this, PolyDeep proposes the development of a CAD system to assist the endoscopist during the endoscopy. The core of this CAD system consists of two Deep Learning models , one for detection and another one for classification, developed using a new polyp video and image dataset created in collaboration with the CHUO Hospital (Ourense, Spain) .
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