AIMC Topic: Serous Membrane

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CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer.

European journal of radiology Sep 11, 2020
PURPOSE: This work aimed to develop and validate a deep learning radiomics model for evaluating serosa invasion in gastric cancer.
Humans Retrospective Studies Tomography, X-Ray Computed Stomach Neoplasms Deep Learning Serous Membrane
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

Gastrointestinal endoscopy Nov 16, 2018
BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa of the stomach regardless of lymph node involvement. The accurate pre...
Humans Neural Networks, Computer Artificial Intelligence Female Stomach Neoplasms Sensitivity and Specificity Male Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Neoplasm Invasiveness Carcinoma Gastrectomy Gastroscopy Gastric Mucosa Endoscopic Mucosal Resection Serous Membrane
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