VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography - LE BOITE, Hugo; COUTURIER, Aude; TADAYONI, Ramin; LAMARD, Mathieu; QUELLEC, Gwenolé (PloS one, 2024)
Keywords: Aged; Algorithms; Angiography; Angiography - methods; Biology and Life Sciences; Cataracts; Computer and Information Sciences; Convolution; Diabetes; Diabetes mellitus; Diabetic retinopathy; Diabetic Retinopathy - diagnostic imaging; Diabetics; Engineering and Technology; Engineering Sciences; Female; Fluorescein Angiography - methods; Humans; Image acquisition; Image processing; Image Processing, Computer-Assisted - methods; Image segmentation; Inference; Information processing; Ischemia; Life Sciences; Male; Medical imaging; Medical research; Medicine and Health Sciences; Medicine, Experimental; Methods; Middle Aged; Morphology; Parameters; Performance indices; Perfusion; Photomontage; Physical Sciences; Python; Research and Analysis Methods; Retina; Retina - diagnostic imaging; Retina - pathology; Retinal Vessels - diagnostic imaging; Retinopathy; Segmentation; Software; Technology application; Test sets; Testing; Tomography, Optical Coherence - methods; France