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Automatic Classification of Retinal Vessels Using Structural and Intensity Information.

, , and . IbPRIA, volume 7887 of Lecture Notes in Computer Science, page 600-607. Springer, (2013)

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Automatic Segmentation of Microaneurysms in Retinal Angiograms of Diabetic Patients., , and . ICIAP, page 728-733. IEEE Computer Society, (1999)DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images., , , , , , , and . CoRR, (2019)3D lung nodule candidate detection in multiple scales., , , and . MVA, page 61-64. IEEE, (2015)Uncertainty-Aware Artery/Vein Classification on Retinal Images., , , , and . ISBI, page 556-560. IEEE, (2019)A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection., , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 39-47. Springer, (2018)UOLO - automatic object detection and segmentation in biomedical images., , , , , and . CoRR, (2018)An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans., , , , and . Expert Syst. Appl., (2019)Objective quality assessment of retinal images based on texture features., , and . IJCNN, page 4520-4527. IEEE, (2017)Estimation of retinal vessel caliber using model fitting and random forests., , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341K. SPIE, (2017)Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction., and . IEEE Trans. Med. Imaging, 25 (9): 1200-1213 (2006)