Automatic Classification and Segmentation of Multiclass Jaw Lesions in Cone-Beam Computed Tomography using Deep Learning

To develop and validate a modified deep learning (DL) model based on nnU-Net for classifying and segmenting five-class jaw lesions using cone-beam CT (CBCT).