PolyDeep Advance 1: Clinical Validation of a Computer-Aided Detection System for Colorectal Polyp Detection with a Second Observer Design

Authors: Pedro Davila-Piñón, Teresa Pedrido, Astrid Irene Díez-Martín, Jesús Herrero, Manuel Puga, Laura Rivas, Eloy Sánchez, Sara Zarraquiños, Noel Pin, Pablo Vega, Santiago Soto, David Remedios, Rubén Domínguez-Carbajales, Florentino Fdez-Riverola, Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Joaquín Cubiella

Source: Diagnostics, Vol 15, Iss 4, p 458 (2025)

Subject Terms: colonoscopy, computer-aided detection, detection, polyps, performance, screening colonoscopy, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/15/4/458; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/97f00d30c713427e9fbe5226dca584c0

Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system

Authors: Pedro Davila-Piñón, Alba Nogueira-Rodríguez, Astrid Irene Díez-Martín, Laura Codesido, Jesús Herrero, Manuel Puga, Laura Rivas, Eloy Sánchez, Florentino Fdez-Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Joaquín Cubiella

Source: Frontiers in Oncology, Vol 14 (2024)

Subject Terms: colorectal polyps, colonoscopy, deep learning, CADe/x, artificial intelligence, screening, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2024.1393815/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/01de0aa34aa74df4971e7b303a0dabed