Medical Imaging | Oncology | Radiology Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors. June 27, 2024
Oncology | Radiology Deep Learning-Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging. May 31, 2024
General Surgery | Oncology | Radiology Use of a Convolutional Neural Network to Predict the Malignant Potential of Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Images: Visualization of the Focus of the Prediction Model. June 8, 2023
Artificial Intelligence | Gastroenterology | Medical Imaging Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images. November 16, 2021
Deep Learning | Gastroenterology | Oncology TN-USMA Net: Triple normalization based gastrointestinal stromal tumors classification on multi-center EUS images with ultrasound specific pre-training and meta attention. August 19, 2021
Endoscopy | Gastroenterology | Oncology Convolutional Neural Network-based Object Detection Model to Identify Gastrointestinal Stromal Tumors in Endoscopic Ultrasound Images. August 9, 2021
Pathology | Radiology Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors. November 10, 2020
Gastroenterology | Medical Imaging | Oncology Efficacy of endoscopic ultrasound with artificial intelligence for the diagnosis of gastrointestinal stromal tumors. September 12, 2020
Oncology | Radiology [Advances in radiological studies of gastrointestinal stromal tumors]. September 24, 2019
Oncology | Radiology Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features. May 6, 2019
Oncology | Radiology Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning. February 8, 2019