Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images

Background and Aims: Endoscopic ultrasonography (EUS) is a useful diagnostic modality for evaluating gastric mesenchymal tumors; however, differentiating gastrointestinal stromal tumors (GISTs) from benign mesenchymal tumors such as leiomyomas and schwannomas remains challenging. For this reason, we...

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Detalles Bibliográficos
Autores principales: Kim, Yoon Ho, Kim, Gwang Ha, Kim, Kwang Baek, Lee, Moon Won, Lee, Bong Eun, Baek, Dong Hoon, Kim, Do Hoon, Park, Jun Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600226/
https://www.ncbi.nlm.nih.gov/pubmed/33003602
http://dx.doi.org/10.3390/jcm9103162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600226/
https://www.ncbi.nlm.nih.gov/pubmed/33003602
http://dx.doi.org/10.3390/jcm9103162

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