Publications by authors named "Byeong In Moon"
Article Synopsis
- Deep learning models were developed to automate the detection and classification of gastric neoplasms during endoscopic procedures, using a dataset of 5,017 endoscopic images.
- The study validated the clinical decision support system (CDSS) through various tests, finding a high lesion detection rate (95.6%) and good classification accuracy (around 89%) in identifying types of gastric cancer and invasion depth.
- Results showed CDSS-assisted endoscopies had a slightly higher detection rate compared to traditional methods, suggesting promising real-world applications, though further statistical significance was not established.
