Artificial Intelligence | Gastroenterology | Medical Imaging The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy. September 28, 2023
Computer Science | Gastroenterology CoInNet: A Convolution-Involution Network with a Novel Statistical Attention for Automatic Polyp Segmentation. September 28, 2023
Gastroenterology | Medical Imaging IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. September 28, 2023
Gastroenterology | Radiology A deep weakly semi-supervised framework for endoscopic lesion segmentation. September 27, 2023
Gastroenterology | Medical Imaging Clinical Validation Benchmark Dataset and Expert Performance Baseline for Colorectal Polyp Localization Methods. September 27, 2023
Gastroenterology | Oncology | Radiology Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study. September 21, 2023
Gastroenterology | Radiology | Surgery Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : A retrospective cohort study. September 18, 2023
Gastroenterology | Oncology | Pathology | Radiology A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer. September 16, 2023
Gastroenterology | Radiology Using deep learning models in magnetic resonance cholangiopancreatography images to diagnose common bile duct stones. September 15, 2023
Gastroenterology | General Surgery Rethinking exemplars for continual semantic segmentation in endoscopy scenes: Entropy-based mini-batch pseudo-replay. September 11, 2023
Artificial Intelligence | Gastroenterology | Surgery Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy. September 11, 2023
Gastroenterology | Medical Imaging GastroNet: A Custom Deep Learning Approach for Classification of Anomalies in Gastrointestinal Endoscopy Images. September 11, 2023