Abstract: Deep learning models have great potential in medical imaging, including orthodontics and skeletal maturity assessment. However, using a model on data different from its training set can lead ...
Abstract: Underwater imaging in turbid environments presents significant challenges for industrial applications due to optical distortions that severely degrade image quality. This article addresses ...