In response to the challenge of low accuracy in retinal vessel segmentation attributed to the
minute nature of the vessels, this paper proposes a retinal vessel segmentation model …

Imaging through dense fog presents unique challenges, with essential visual information
crucial for applications like object detection and recognition, thereby hindering conventional …

Detection and characterization of hidden defects, impurities, and damages in homogeneous
materials like aluminum die casting materials, as well as composite materials like Fiber …

FastSAM, a public image segmentation model trained on everyday images, is used to
achieve a customizable and state-of-the-art segmentation model minimizing the training in …

Low-light environments have long posed a significant challenge to machine learning
models, particularly in real-time applications where accuracy and speed are critical. Under …

FastSAM, a publicly available image segmentation model designed for general image
segmentation, is turned into a highly adaptable and advanced segmentation tool that …