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Maíla de Lima Claro
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2020 – today
- 2023
- [j6]Maura Rocha, Maíla de Lima Claro, Laurindo de S. B. Neto, Kelson Rômulo Teixeira Aires, Vinícius Machado, Rodrigo Veras:
Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 351-368 (2023) - 2022
- [j5]Maíla de Lima Claro, Rodrigo M. S. Veras, André M. Santana, Luis Henrique Silva Vogado, Geraldo Braz Junior, Fátima N. S. de Medeiros, João Manuel R. S. Tavares:
Assessing the impact of data augmentation and a combination of CNNs on leukemia classification. Inf. Sci. 609: 1010-1029 (2022) - 2020
- [c4]Daniel Cruz, Maíla de Lima Claro, Rodrigo Veras, Luis H. S. Vogado, Helano Miguel B. F. Portela, Nayara Holanda de Moura, Daniel Luz:
P-FideNet: Plasmodium Falciparum Identification Neural Network. ISVC (1) 2020: 369-380 - [c3]Elineide Santos, Rodrigo Veras, Helano Miguel, Kelson Rômulo Teixeira Aires, Maíla de Lima Claro, Geraldo Braz Junior:
A Skin Lesion Semi-supervised Segmentation Method. IWSSIP 2020: 33-38 - [c2]Maíla de Lima Claro, Luis H. S. Vogado, Rodrigo Veras, André Macedo Santana, João Tavares, Justino Santos, Vinícius P. Machado:
Convolution Neural Network Models for Acute Leukemia Diagnosis. IWSSIP 2020: 63-68
2010 – 2019
- 2019
- [j4]Maíla de Lima Claro, Rodrigo Veras, André M. Santana, Flávio H. D. Araújo, Romuere R. V. e Silva, João Almeida, Daniel Leite:
An hybrid feature space from texture information and transfer learning for glaucoma classification. J. Vis. Commun. Image Represent. 64 (2019) - [j3]Nayara Holanda de Moura, Rodrigo de Melo Souza Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro:
ABCD rule and pre-trained CNNs for melanoma diagnosis. Multim. Tools Appl. 78(6): 6869-6888 (2019) - 2018
- [j2]Maíla de Lima Claro, Rodrigo de Melo Souza Veras, André Macedo Santana, Luis Henrique Silva Vogado, Leonardo Pereira Sousa:
Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas. RITA 25(1): 82-89 (2018) - [c1]Nayara Holanda de Moura, Rodrigo M. S. Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro:
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. ISCC 2018: 508-513 - 2016
- [j1]Maíla de Lima Claro, Leonardo de Moura Santos, Wallinson Lima e Silva, Flávio Henrique Duarte de Araújo, Nayara Holanda de Moura, André Macedo Santana:
Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction. CLEI Electron. J. 19(2): 4 (2016)
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