Multi-Task Model for Esophageal Lesion Analysis Using Endoscopic Images: Classification with Image Retrieval and Segmentation with Attention

The automatic analysis of endoscopic images to assist endoscopists in accurately identifying the types and locations of esophageal lesions remains a challenge. In this paper, we propose a novel multi-task deep learning model for automatic diagnosis, which does not simply replace the role of endoscop...

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Detalles Bibliográficos
Autores principales: Yu, Xiaoyuan, Tang, Suigu, Cheang, Chak Fong, Yu, Hon Ho, Choi, I Cheong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749873/
https://www.ncbi.nlm.nih.gov/pubmed/35009825
http://dx.doi.org/10.3390/s22010283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749873/
https://www.ncbi.nlm.nih.gov/pubmed/35009825
http://dx.doi.org/10.3390/s22010283

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