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[HTML][HTML] An optimal artificial intelligence system for real-time endoscopic prediction of invasion depth in early gastric cancer

JH Kim, SI Oh, SY Han, JS Keum, KN Kim, JY Chun… - Cancers, 2022 - mdpi.com
Simple Summary We previously constructed a VGG-16-based artificial intelligence (AI)
model (image classifier [IC]) to predict the invasion depth in early gastric cancer (EGC) using …
被引用次数：8 相关文章

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

JH Kim, SI Oh, SY Han, JS Keum, KN Kim… - …, 2022 - yonsei.elsevierpure.com
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

J Kim, S Oh, S Han, J Keum, K Kim, J Chun, Y Youn… - Cancers, 2022 - europepmc.org
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer.

JH Kim, SI Oh, SY Han, JS Keum, KN Kim… - …, 2022 - search.ebscohost.com
Abstract Simple Summary: We previously constructed a VGG-16-based artificial intelligence
(AI) model (image classifier [IC]) to predict the invasion depth in early gastric cancer (EGC) …

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

K Jie-Hyun, SI Oh, H So-Young, JS Keum… - …, 2022 - search.proquest.com
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

JH Kim, SI Oh, SY Han, JS Keum, KN Kim… - …, 2022 - pubmed.ncbi.nlm.nih.gov
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …
[HTML] nih.gov

[HTML][HTML] An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

JH Kim, SI Oh, SY Han, JS Keum, KN Kim, JY Chun… - Cancers, 2022 - ncbi.nlm.nih.gov
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …
[PDF] yonsei.ac.kr

[PDF][PDF] An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer

JH Kim, SI Oh, SY Han, JS Keum, KN Kim, JY Chun… - 2022 - ir.ymlib.yonsei.ac.kr
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …

An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer.

JH Kim, SI Oh, SY Han, JS Keum, KN Kim, JY Chun… - Cancers, 2022 - europepmc.org
We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier
[IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static …