Paulo Rogério de Faria
Orcid: 0000-0003-2650-3960
According to our database1,
Paulo Rogério de Faria
authored at least 33 papers
between 2017 and 2024.
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Bibliography
2024
SN Comput. Sci., April, 2024
Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images.
Pattern Anal. Appl., March, 2024
Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks.
J. Digit. Imaging, August, 2023
A stain color normalization with robust dictionary learning for breast cancer histological images processing.
Biomed. Signal Process. Control., August, 2023
Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset.
CoRR, 2023
Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Percolation Features: An approach for evaluating fractal properties in colour images.
Softw. Impacts, December, 2022
Softw. Impacts, 2022
Expert Syst. Appl., 2022
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections.
Expert Syst. Appl., 2022
Classification of lymphomas images with polynomial strategy: An application with Ridge regularization.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Classification of H&E images exploring ensemble learning with two-stage feature selection.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
2021
Pattern Anal. Appl., 2021
Evaluation of statistical and Haralick texture features for lymphoma histological images classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks.
Biomed. Signal Process. Control., 2021
2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Unsupervised method for normalization of hematoxylin-eosin stain in histological images.
Comput. Medical Imaging Graph., 2019
Classification of breast and colorectal tumors based on percolation of color normalized images.
Comput. Graph., 2019
Color normalization of faded H&E-stained histological images using spectral matching.
Comput. Biol. Medicine, 2019
Computational normalization of H&E-stained histological images: Progress, challenges and future potential.
Artif. Intell. Medicine, 2019
Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2018
Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images.
Appl. Soft Comput., 2018
Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2018
2017
Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm.
Expert Syst. Appl., 2017
Features based on the percolation theory for quantification of non-Hodgkin lymphomas.
Comput. Biol. Medicine, 2017
Application of Evolutionary Algorithms on Unsupervised Segmentation of Lymphoma Histological Images.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017