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Objective quality assessment of retinal images based on texture features.

, , and . IJCNN, page 4520-4527. IEEE, (2017)

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Evaluation of the Degree of Malignancy of Lung Nodules in Computed Tomography Images., , , and . VISIGRAPP (6: VISAPP), page 74-80. SciTePress, (2017)Automatic localization of the optic disc by combining vascular and intensity information., , , and . Comput. Medical Imaging Graph., 37 (5-6): 409-417 (2013)Dynamic Programming and Fuzzy Classification for the Automatic Segmentation of the Carotid in Ultrasound Images., , and . MVA, page 552-556. (2011)Optic disc segmentation using the sliding band filter., , and . Comput. Biol. Medicine, (2015)3-D data acquisition and scene segmentation system., , and . ICPR, page 563-567. IEEE Computer Society, (1996)Lane Background Removal for the Classification of Thin-Layer Chromatography Images., , , and . ICIAR, volume 7950 of Lecture Notes in Computer Science, page 556-564. Springer, (2013)Optical Flow Based Approach for Automatic Cardiac Cycle Estimation in Ultrasound Images of the Carotid., , , , , and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 360-367. Springer, (2015)Automatic Localization of the Optic Disc in Retinal Images Based on the Entropy of Vascular Directions., , , and . ICIAR (2), volume 7325 of Lecture Notes in Computer Science, page 424-431. Springer, (2012)3D lung nodule candidate detection in multiple scales., , , and . MVA, page 61-64. IEEE, (2015)An automatic method for the estimation of Arteriolar-to-Venular Ratio in retinal images., , and . CBMS, page 512-513. IEEE Computer Society, (2013)