Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material for Objective Evaluation of Bowel Preparation Quality in Colonoscopy

Background: Adequate bowel cleansing is important for colonoscopy performance evaluation. Current bowel cleansing evaluation scales are subjective, with a wide variation in consistency among physicians and low reported rates of accuracy. We aim to use machine learning to develop a fully automatic se...

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Detalles Bibliográficos
Autores principales: Wang, Yen-Po, Jheng, Ying-Chun, Sung, Kuang-Yi, Lin, Hung-En, Hsin, I-Fang, Chen, Ping-Hsien, Chu, Yuan-Chia, Lu, David, Wang, Yuan-Jen, Hou, Ming-Chih, Lee, Fa-Yauh, Lu, Ching-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947406/
https://www.ncbi.nlm.nih.gov/pubmed/35328166
http://dx.doi.org/10.3390/diagnostics12030613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947406/
https://www.ncbi.nlm.nih.gov/pubmed/35328166
http://dx.doi.org/10.3390/diagnostics12030613

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