A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer

In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the treatment method. However, as endoscopic ultrasonography has limitations when measuring the exact depth in a clinical setting as endoscopists often depend on gross findings and personal experience. The pre...

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Detalles Bibliográficos
Autores principales: Yoon, Hong Jin, Kim, Seunghyup, Kim, Jie-Hyun, Keum, Ji-Soo, Oh, Sang-Il, Jo, Junik, Chun, Jaeyoung, Youn, Young Hoon, Park, Hyojin, Kwon, In Gyu, Choi, Seung Ho, Noh, Sung Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781189/
https://www.ncbi.nlm.nih.gov/pubmed/31454949
http://dx.doi.org/10.3390/jcm8091310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781189/
https://www.ncbi.nlm.nih.gov/pubmed/31454949
http://dx.doi.org/10.3390/jcm8091310

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