Abstract: To address the core issue of high-dimensional data processing in hyperspectral pathological diagnosis, we develop a new feature selection framework using functional data analysis (FSFDA).
Abstract: With rising global depression rates, there is an urgent need for scalable and accurate automated screening tools. Existing automated methods often rely on single data modalities or fail to ...
A robust Python toolkit for converting femur segmentation masks (NIfTI format) into high-quality, watertight 3D meshes with automatic cropping, quality filtering, and left/right separation.