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P-FideNet: Plasmodium Falciparum Identification Neural Network.

, , , , , , and . ISVC (1), volume 12509 of Lecture Notes in Computer Science, page 369-380. Springer, (2020)

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P-FideNet: Plasmodium Falciparum Identification Neural Network., , , , , , and . ISVC (1), volume 12509 of Lecture Notes in Computer Science, page 369-380. Springer, (2020)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)Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction., , , , , and . CLEI Electron. J., 19 (2): 4 (2016)A Skin Lesion Semi-supervised Segmentation Method., , , , , and . IWSSIP, page 33-38. IEEE, (2020)Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (3): 351-368 (May 2023)Assessing the impact of data augmentation and a combination of CNNs on leukemia classification., , , , , , and . Inf. Sci., (2022)Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas., , , , and . RITA, 25 (1): 82-89 (2018)Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma., , , , , , and . ISCC, page 508-513. IEEE, (2018)Convolution Neural Network Models for Acute Leukemia Diagnosis., , , , , , and . IWSSIP, page 63-68. IEEE, (2020)