Deep learning for automatic volumetric bowel segmentation on body CT images - Park, Junghoan; Park, Sungeun; Chung, Han-Jae; Lee, Da In; Kim, Jong-min; Kim, Se Hyung; Choe, Eun Kyung; Park, Kyu Joo; Yoon, Soon Ho (European radiology, 2025)
Keywords: Abdomen; Accuracy; Adult; Age; Aged; Algorithms; Artificial neural networks; Compartments; Computed tomography; Constipation; Constipation - diagnostic imaging; Contrast Media; Datasets; Deep Learning; Diagnostic Radiology; Esophagus; Estimation; Female; Gastrointestinal; Gastrointestinal system; Gastrointestinal tract; Height; Hospitals; Humans; Image processing; Image segmentation; Imaging; Imaging, Three-Dimensional; Internal Medicine; Interventional Radiology; Intestine; Intestine, Large - diagnostic imaging; Machine learning; Male; Medical imaging; Medicine; Medicine & Public Health; Middle Aged; Neural networks; Neuroradiology; Patients; Radiographic Image Interpretation, Computer-Assisted - methods; Radiology; Segmentation; Separation; Small intestine; Software; Stomach; Tomography, X-Ray Computed - methods; Ultrasound; Whole Body Imaging - methods; Deep learning; Gastrointestinal tract; Constipation; Tomography (X-ray computed)