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Leandro Alves Neves

Computational normalization of H&E-stained histological images: Progress, challenges and future potential
2018 · Thaína A. Azevedo Tosta, Paulo Rogério de Faria, et al. · Artificial Intelligence in Medicine · 122
Classification of masses in mammographic image using wavelet domain features and polynomial classifier
2013 · Marcelo Zanchetta do Nascimento, Alessandro Santana Martins, et al. · Expert Systems with Applications · 78
LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues
2016 · Daniel O. Tambasco Bruno, Marcelo Z. do Nascimento, et al. · Expert Systems with Applications · 77
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Classification of colorectal cancer based on the association of multidimensional and multiresolution features
2018 · Matheus Gonçalves Ribeiro, Leandro Alves Neves, et al. · Expert Systems with Applications · 49
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Segmentation methods of H&E-stained histological images of lymphoma: A review
2017 · Thaína A. Azevedo Tosta, Leandro A. Neves, et al. · Informatics in Medicine Unlocked · 49
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Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
2020 · Guilherme Freire Roberto, Alessandra Lumini, et al. · Expert Systems with Applications · 47
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
2022 · Adriano Barbosa Silva, Alessandro Santana Martins, et al. · Expert Systems with Applications · 36
Unsupervised method for normalization of hematoxylin-eosin stain in histological images
2019 · Thaína A. Azevedo Tosta, Paulo Rogério de Faria, et al. · Computerized Medical Imaging and Graphics · 36
Multidimensional and fuzzy sample entropy ( SampEnMF ) for quantifying H&E histological images of colorectal cancer
2018 · Luiz Fernando Segato dos Santos, Leandro Alves Neves, et al. · Computers in Biology and Medicine · 36
Features based on the percolation theory for quantification of non-Hodgkin lymphomas
2017 · Guilherme F. Roberto, Leandro A. Neves, et al. · Computers in Biology and Medicine · 34
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Lymphoma images analysis using morphological and non-morphological descriptors for classification
2018 · Marcelo Zanchetta do Nascimento, Alessandro Santana Martins, et al. · Computer Methods and Programs in Biomedicine · 32
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Exploring polynomial classifier to predict match results in football championships
2017 · Rodrigo G. Martins, Alessandro S. Martins, et al. · Expert Systems with Applications · 32
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Color normalization of faded H&E-stained histological images using spectral matching
2019 · Thaína A. Azevedo Tosta, Paulo Rogério de Faria, et al. · Computers in Biology and Medicine · 29
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Classification of breast and colorectal tumors based on percolation of color normalized images
2019 · Guilherme F. Roberto, Marcelo Z. Nascimento, et al. · Computers & Graphics · 26
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
2023 · Cléber I. de Oliveira, Marcelo Z. do Nascimento, et al. · Multimedia Tools and Applications · 24
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
2013 · Domingos Lucas Latorre de Oliveira, Marcelo Zanchetta do Nascimento, et al. · Expert Systems with Applications · 24
Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer
2014 · L.A. Neves, M.Z. Nascimento, et al. · Expert Systems with Applications · 22
Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco
2011 · Roberto Douglas Moreira, Antonio Roberto Moriel, et al. · Brazilian Journal of Cardiovascular Surgery · 21
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A stain color normalization with robust dictionary learning for breast cancer histological images processing
2023 · Thaína A. Azevedo Tosta, André Dias Freitas, et al. · Biomedical Signal Processing and Control · 20
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images
2020 · David Candelero, Guilherme Freire Roberto, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 20
Unsupervised Segmentation of Leukocytes Images Using Thresholding Neighborhood Valley-Emphasis
2015 · Thaina Aparecida Azevedo Tosta, Andressa Finzi de Abreu, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 19
Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm
2017 · Thaína A. Azevedo Tosta, Paulo Rogério Faria, et al. · Expert Systems with Applications · 18
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A Hermite polynomial algorithm for detection of lesions in lymphoma images
2020 · Alessandro S. Martins, Leandro A. Neves, et al. · Pattern Analysis and Applications · 17
OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification
2024 · Adriano Barbosa Silva, Alessandro Santana Martins, et al. · Journal of Imaging Informatics in Medicine · 16
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Automatic segmentation of digital images applied in cardiac medical images
2010 · F. A. Peres, F. R. Oliveira, et al. · Pan American Health Care Exchanges · 16
Works count: 141
Citation count: 1,247
H-index: 20
I10-index: 37
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