A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

Unfortunately again, as with so many of the generated images with this model, it’s so close and yet not quite right. The text drifts off into nonsense, and while I think many image generators ...

Winnemöller, (2011) improved the DoG algorithm and proposed an edge detection algorithm XDoG which can realize the transformation of image advanced style. Algorithm XDoG adjusts the intensity of the ...

Traditional methods for change detection in synthetic aperture radar images have difficulty in obtaining results from the generated differential image (DI) owing to speckle noise. In recent years, ...

Canny algorithm is one of the most widely used edge detection methods based on the optimal thought. However, it still has some drawbacks. In this paper on adaptive edge detection model based on ...