Spotting malignancies from gastric endoscopic images using deep learning.

Jang Hyung LeeYoung Jae KimYoon Woo KimSungjin ParkYoun-I ChoiYoon Jae KimDong Kyun ParkYeoun Jae KimJun-Won Chung

Published in: Surgical endoscopy (2019)

The overall level of performance of the proposed method was very promising to encourage applications in clinical environments. Automatic classification using deep learning technique as proposed can be used to complement manual inspection efforts for practitioners to minimize dangers of missed out positives resulting from repetitive sequence of endoscopic frames and weakening attentions.

Keyphrases

deep learning
ultrasound guided
convolutional neural network
artificial intelligence
machine learning
primary care
high frequency
endoscopic submucosal dissection
general practice