M. Claro

Glaucoma Diagnosis Using Texture Attributes and Pre-trained CNN ’ s Diagnóstico de Glaucoma

M. Claro, R. Veras, A. Santana, 2018 .

An hybrid feature space from texture information and transfer learning for glaucoma classification

Flávio H. D. Araújo, Andre M. Santana, Maíla de Lima Claro, 2019, J. Vis. Commun. Image Represent..

Convolution Neural Network Models for Acute Leukemia Diagnosis

João Tavares, Rodrigo Veras, Justino Santos, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction

Flávio H. D. Araújo, Maíla de Lima Claro, André Macedo Santana, 2016, CLEI Electron. J..

A Skin Lesion Semi-supervised Segmentation Method

Geraldo Braz Junior, Elineide Santos, Rodrigo Veras, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

ABCD rule and pre-trained CNNs for melanoma diagnosis

Flávio H. D. Araújo, Romuere R. V. Silva, M. Claro, 2018, Multimedia Tools and Applications.

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma

Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires, Rodrigo M. S. Veras, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification

M. Claro, R. Veras, A. Santana, 2022, Information Sciences.

Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis

M. Claro, R. Veras, V. Machado, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..