Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT - Yeshua, Talia; Ladyzhensky, Shmuel; Abu-Nasser, Amal; Abdalla-Aslan, Ragda; Boharon, Tami; Itzhak-Pur, Avital; Alexander, Asher; Chaurasia, Akhilanand; Cohen, Adir; Sosna, Jacob; Leichter, Isaac; Nadler, Chen (European radiology, 2023)
Keywords: Accuracy; Algorithms; Axial skeleton; Bone imaging; Bone lesions; Computed tomography; Cone-Beam Computed Tomography - methods; Datasets; Deep Learning; Diagnostic Radiology; Humans; Image Processing, Computer-Assisted; Image segmentation; Imaging; Imaging Informatics and Artificial Intelligence; Internal Medicine; Interventional Radiology; Jaw; Lesions; Machine learning; Mathematical analysis; Maxillofacial; Medical imaging; Medicine; Medicine & Public Health; Morbidity; Neuroradiology; Radiology; Segmentation; Ultrasound; Deep learning; Pathology; Cone beam computed tomography; Oral; Incidental findings