Leandro Alves Neves
Orcid: 0000-0001-8580-7054
According to our database1,
Leandro Alves Neves
authored at least 67 papers
between 2013 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
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
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
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
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
An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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
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
Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 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
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images.
Expert Syst. Appl., 2021
Evaluation of statistical and Haralick texture features for lymphoma histological images classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
2020
Analysing research collaboration through co-authorship networks in a big data environment: an efficient parallel approach.
Int. J. Comput. Sci. Eng., 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
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of 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
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
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
J. Comput. Sci., 2018
Lymphoma images analysis using morphological and non-morphological descriptors for classification.
Comput. Methods Programs Biomed., 2018
Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer.
Comput. Biol. Medicine, 2018
Comput. Biol. Chem., 2018
Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images.
Appl. Soft Comput., 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
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
Expert Syst. Appl., 2017
Features based on the percolation theory for quantification of non-Hodgkin lymphomas.
Comput. Biol. Medicine, 2017
Proceedings of the 18th International Conference on Parallel and Distributed Computing, 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
2016
LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues.
Expert Syst. Appl., 2016
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
A Configurable Strategy for Extraction, Transformation and Load to Support Data Propagation on Active Data Warehouses.
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
2015
Proceedings of the SOFSEM 2015: Theory and Practice of Computer Science, 2015
Unsupervised Segmentation of Leukocytes Images Using Thresholding Neighborhood Valley-Emphasis.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2014
Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer.
Expert Syst. Appl., 2014
2013
Free Tools and Strategies for the Generation of 3D Finite Element Meshes: Modeling of the Cardiac Structures.
Int. J. Biomed. Imaging, 2013
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy.
Expert Syst. Appl., 2013
Classification of masses in mammographic image using wavelet domain features and polynomial classifier.
Expert Syst. Appl., 2013
Proceedings of the International Conference on Parallel and Distributed Computing, 2013