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ABCD rule and pre-trained CNNs for melanoma diagnosis., , , , , , and . Multim. Tools Appl., 78 (6): 6869-6888 (2019)Automatic Detection of Glaucoma Using Disc Optic Segmentation and Feature Extraction., , , , , and . CLEI, page 1-7. IEEE, (2015)An hybrid feature space from texture information and transfer learning for glaucoma classification., , , , , , and . J. Vis. Commun. Image Represent., (2019)Automatic Segmentation of Lung Nodules in CT Images Using Deep Learning., , , , and . HealthCom, page 1-6. IEEE, (2020)Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels., , , , , and . ISM, page 451-456. IEEE, (2016)Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features., , , , and . Multim. Tools Appl., 82 (27): 42977-42993 (November 2023)Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network., , , , , , and . SAC, page 629-636. ACM, (2021)Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma., , , , , , and . ISCC, page 508-513. IEEE, (2018)Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company., , , , , and . CBMS, page 23-28. IEEE Computer Society, (2013)Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification., , , , and . Eng. Appl. Artif. Intell., (2018)