DEEP LEARNING-BASED COMPUTER-AIDED DIAGNOSIS SYSTEM FOR GASTROSCOPY IMAGE CLASSIFICATION USING SYNTHETIC DATA

Deep Learning-Based Computer-Aided Diagnosis System for Gastroscopy Image Classification Using Synthetic Data

Gastric cancer has a high mortality rate worldwide, but it can be prevented with early detection through regular gastroscopy.Herein, we propose a deep learning-based computer-aided diagnosis (CADx) system applying data augmentation to help doctors classify gastroscopy images as normal or abnormal.To improve the performance of deep learning, a large

read more


Royal Jelly and 10-Hydroxy-2-Decenoic acid activate autophagy through mTOR/ULK1 pathway to improve cognitive function in diabetic mice

Diabetes, a ruthless chronic metabolic disorder, is increasingly considered to jeopardize global well-being over the decades.Royal jelly (RJ) is a complex natural product secreted by worker bees containing a unique fatty acid known as 10-hydroxy-2-decenoic acid (10-HDA).This study aimed to verify the protective effect on cognitive function of RJ an

read more