vessel segmentation
Version 1The DRIVE dataset, developed by Staal et al. (2004), utilizes the elongated structure of vessel ridges for automatic vessel classification in the Utrecht database. It consists of 40 images (565 × 584 pixels) in JPEG format, captured at a 45° field of view, divided into 20 training and 20 testing images. The CHASEDB1 dataset employs multiscale Gabor filtering and morphological transformations, comprising 28 images related to cardiovascular health from 14 students of various ethnicities, with
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The DRIVE dataset, developed by Staal et al. (2004), utilizes the elongated structure of vessel ridges for automatic vessel classification in the Utrecht database. It consists of 40 images (565 × 584 pixels) in JPEG format, captured at a 45° field of view, divided into 20 training and 20 testing images. The CHASEDB1 dataset employs multiscale Gabor filtering and morphological transformations, comprising 28 images related to cardiovascular health from 14 students of various ethnicities, with