Alessandro Santana Martins
Orcid: 0000-0003-4635-5037
According to our database1,
Alessandro Santana Martins
authored at least 33 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images.
Pattern Anal. Appl., March, 2024
An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images.
Pattern Anal. Appl., March, 2024
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier.
Multim. Tools Appl., 2024
Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024
2023
Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images.
Expert Syst. Appl., November, 2023
A stain color normalization with robust dictionary learning for breast cancer histological images processing.
Biomed. Signal Process. Control., August, 2023
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023
Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical 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
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
Ensembles of fractal descriptors with multiple deep learned features for classification of histological images.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
2021
Analysis of cancer in histological images: employing an approach based on genetic algorithm.
Pattern Anal. Appl., 2021
Pattern Anal. Appl., 2021
2020
Analysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
Classification of colorectal cancer based on the association of multidimensional and multiresolution features.
Expert Syst. Appl., 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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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
Lymphoma images analysis using morphological and non-morphological descriptors for classification.
Comput. Methods Programs Biomed., 2018
Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018
2017
Expert Syst. Appl., 2017
Features based on the percolation theory for quantification of non-Hodgkin lymphomas.
Comput. Biol. Medicine, 2017
2016
LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues.
Expert Syst. Appl., 2016
2014
Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer.
Expert Syst. Appl., 2014
2013
Classification of masses in mammographic image using wavelet domain features and polynomial classifier.
Expert Syst. Appl., 2013