Diagnosis of Esophageal Lesions by Multi-Classification and Segmentation Using an Improved Multi-Task Deep Learning Model

It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists are busy fighting esophageal lesions every day, h...

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Detalles Bibliográficos
Autores principales: Tang, Suigu, Yu, Xiaoyuan, Cheang, Chak-Fong, Hu, Zeming, Fang, Tong, Choi, I-Cheong, Yu, Hon-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876234/
https://www.ncbi.nlm.nih.gov/pubmed/35214396
http://dx.doi.org/10.3390/s22041492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876234/
https://www.ncbi.nlm.nih.gov/pubmed/35214396
http://dx.doi.org/10.3390/s22041492

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