Abstract: Systems and techniques for generating and/or employing a computed tomography (CT) medical imaging fracture model are presented. In one example, a system employs a first convolutional neural network associated with vertebrae segmentation to generate learned vertebrae segmentation data regarding a spine anatomical region related to a CT image. The system also employs a second convolutional neural network associated with fracture segmentation to generate, based on the learned vertebrae segmentation data, learned fracture segmentation data regarding the spine anatomical region. Furthermore, the system detects presence or absence of a medical fracture condition in the CT image based on the learned vertebrae segmentation data and the learned fracture segmentation data.