Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study

BACKGROUND: In a previous study, we examined the use of deep learning models to classify the invasion depth (mucosa-confined versus submucosa-invaded) of gastric neoplasms using endoscopic images. The external test accuracy reached 77.3%. However, model establishment is labor intense, requiring high...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:J Med Internet Res
Hauptverfasser: Bang, Chang Seok, Lim, Hyun, Jeong, Hae Min, Hwang, Sung Hyeon
Format: Artigo
Sprache:Inglês
Veröffentlicht: JMIR Publications 2021
Schlagworte:
Original Paper
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8085753/
https://ncbi.nlm.nih.gov/pubmed/33856356
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/25167
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge