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Deep Learning Empowers Endoscopic Detection and Polyps Classification: A Multiple-Hospital Study

The present study aimed to develop an AI-based system for the detection and classification of polyps using colonoscopy images. A total of about 256,220 colonoscopy images from 5000 colorectal cancer patients were collected and processed. We used the CNN model for polyp detection and the EfficientNet...

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Detalles Bibliográficos
Autores principales:	Shen, Ming-Hung, Huang, Chi-Cheng, Chen, Yu-Tsung, Tsai, Yi-Jian, Liou, Fou-Ming, Chang, Shih-Chang, Phan, Nam Nhut
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138002/ https://www.ncbi.nlm.nih.gov/pubmed/37189575 http://dx.doi.org/10.3390/diagnostics13081473

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