Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy

Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural networks suffered from overfitting and vanishing gr...

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Detalles Bibliográficos
Autores principales: Choi, Joonmyeong, Shin, Keewon, Jung, Jinhoon, Bae, Hyun-Jin, Kim, Do Hoon, Byeon, Jeong-Sik, Kim, Namku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Gastrointestinal Endoscopy 2020
Materias:
Focused Review Series: Application of Artificial Intelligence in GI Endoscopy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137563/
https://www.ncbi.nlm.nih.gov/pubmed/32252504
http://dx.doi.org/10.5946/ce.2020.054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137563/
https://www.ncbi.nlm.nih.gov/pubmed/32252504
http://dx.doi.org/10.5946/ce.2020.054

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