Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images

Gastric intestinal metaplasia (GIM) is a precancerous lesion of gastric cancer. Currently, diagnosis of GIM is based on the experience of a physician, which is liable to interobserver variability. Thus, an intelligent diagnostic (ID) system, based on narrow-band and magnifying narrow-band images, wa...

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Veröffentlicht in:	Computers in biology and medicine 2020-11, Vol.126, p.104026-104026, Article 104026
Hauptverfasser:	Yan, Tao, Wong, Pak Kin, Choi, I. Cheong, Vong, Chi Man, Yu, Hon Ho
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Biopsy Convolutional neural network Datasets Deep learning Diagnosis Diagnostic systems Endoscopy Esophagus Gastric cancer Gastric intestinal metaplasia Intelligent diagnosis Intestine Magnifying narrow-band imaging Medical diagnosis Medical imaging Metaplasia Morphology Narrow-band imaging Neural networks Pathology Patients Support vector machines Transfer learning
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