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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138002/
https://www.ncbi.nlm.nih.gov/pubmed/37189575
http://dx.doi.org/10.3390/diagnostics13081473

Ejemplares similares