MedShapeNetCore is a subset of MedShapeNet, containing more lightweight 3D anatomical shapes in the format of mask, point cloud and mesh. The shape data are stored as numpy arrays in nested dictonarie
The data presented here is the supplemental material of the research letter: "Assessing Differentiation in Cutaneous Squamous Cell Carcinoma: A Machine Learning Approach" published in the Journal of
BackgroundMachine learning (ML) algorithms play a key role in estimating dental age. In this study, three ML models were used for dental age estimation, based on different preprocessing methods. AimTh
