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ABCD rule and pre-trained CNNs for melanoma diagnosis., , , , , , and . Multim. Tools Appl., 78 (6): 6869-6888 (2019)An hybrid feature space from texture information and transfer learning for glaucoma classification., , , , , , and . J. Vis. Commun. Image Represent., (2019)A multi-objective approach for calibration and detection of cervical cells nuclei., , , , , , , and . CEC, page 2321-2327. IEEE, (2017)Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels., , , , , and . ISM, page 451-456. IEEE, (2016)Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma., , , , , , and . ISCC, page 508-513. IEEE, (2018)Automatic Segmentation of Melanoma Skin Cancer Using Deep Learning., , , and . HealthCom, page 1-6. IEEE, (2020)Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads., , , , , and . CLEI, page 1-10. IEEE, (2012)Assessing the accuracy of macula detection methods in retinal images., , , and . DSP, page 1-6. IEEE, (2013)SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas., , , and . BRACIS, page 316-321. IEEE Computer Society, (2015)Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images., , , , and . HealthCom, page 1-6. IEEE, (2020)