
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning
The purpose of this study was to evaluate the performance of deep learning using ResNet50 in the differentiation of benign and malignant vertebral fracture on computed tomography (CT). The study used a dataset of 433 patients, which was retrospectively selected from the authors’ spinal CT image database. The authors concluded that ResNet50 achieved good accuracy, which can be further improved