Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound

Background: Contrast-enhanced endoscopic ultrasound (CE-EUS) is useful for the differentiation of pancreatic tumors. Using deep learning for the segmentation and classification of pancreatic tumors might further improve the diagnostic capability of CE-EUS. Aims: The aim of this study was to evaluate...

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Detalles Bibliográficos
Autores principales: Iwasa, Yuhei, Iwashita, Takuji, Takeuchi, Yuji, Ichikawa, Hironao, Mita, Naoki, Uemura, Shinya, Shimizu, Masahito, Kuo, Yu-Ting, Wang, Hsiu-Po, Hara, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397137/
https://www.ncbi.nlm.nih.gov/pubmed/34441883
http://dx.doi.org/10.3390/jcm10163589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397137/
https://www.ncbi.nlm.nih.gov/pubmed/34441883
http://dx.doi.org/10.3390/jcm10163589

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