Higher education institutions record a significant amount of data about their students, representing a considerable potential to generate information, knowledge, and monitoring.Both school dropout and educational failure in higher education are an obstacle to economic growth, employment, competitiveness, and productivity, directly impacting Shorts
Better Cone-Beam CT Artifact Correction via Spatial and Channel Reconstruction Convolution Based on Unsupervised Adversarial Diffusion Models
Cone-Beam Computed Tomography (CBCT) holds significant clinical value in image-guided radiotherapy (IGRT).However, CBCT images of low-density soft tissues are often plagued with artifacts and noise, which can lead to missed diagnoses and misdiagnoses.We propose a new unsupervised CBCT image artifact correction algorithm, named Spatial Convolution D