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Leandro Alves Neves
Leandro Alves Neves
Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP)
Email confirmado em unesp.br
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Ano
Classification of masses in mammographic image using wavelet domain features and polynomial classifier
MZ Do Nascimento, AS Martins, LA Neves, RP Ramos, EL Flores, ...
Expert Systems with Applications 40 (15), 6213-6221, 2013
962013
Computational normalization of H&E-stained histological images: Progress, challenges and future potential
TAA Tosta, PR de Faria, LA Neves, MZ do Nascimento
Artificial intelligence in medicine 95, 118-132, 2019
922019
LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues
DOT Bruno, MZ Do Nascimento, RP Ramos, VR Batista, LA Neves, ...
Expert Systems with Applications 55, 329-340, 2016
772016
Segmentation methods of H&E-stained histological images of lymphoma: A review
TAA Tosta, LA Neves, MZ do Nascimento
Informatics in medicine unlocked 9, 35-43, 2017
582017
Classification of colorectal cancer based on the association of multidimensional and multiresolution features
MG Ribeiro, LA Neves, MZ do Nascimento, GF Roberto, AS Martins, ...
Expert Systems with Applications 120, 262-278, 2019
462019
Fractal dimension in quantifying the degree of myocardial cellular rejection after cardiac transplantation
RD Moreira, AR Moriel, LO Murta Junior, LA Neves, MF Godoy
Brazilian Journal of Cardiovascular Surgery 26, 155-163, 2011
38*2011
Features based on the percolation theory for quantification of non-hodgkin lymphomas
GF Roberto, LA Neves, MZ Nascimento, TAA Tosta, LC Longo, AS Martins, ...
Computers in biology and medicine 91, 135-147, 2017
362017
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
GF Roberto, A Lumini, LA Neves, MZ do Nascimento
Expert Systems with Applications 166, 114103, 2021
352021
Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer
LFS Dos Santos, LA Neves, GB Rozendo, MG Ribeiro, MZ do Nascimento, ...
Computers in biology and medicine 103, 148-160, 2018
342018
Unsupervised method for normalization of hematoxylin-eosin stain in histological images
TAA Tosta, PR de Faria, JPS Servato, LA Neves, GF Roberto, AS Martins, ...
Computerized Medical Imaging and Graphics 77, 101646, 2019
292019
Lymphoma images analysis using morphological and non-morphological descriptors for classification
MZ do Nascimento, AS Martins, TAA Tosta, LA Neves
Computer methods and programs in biomedicine 163, 65-77, 2018
292018
Exploring polynomial classifier to predict match results in football championships
RG Martins, AS Martins, LA Neves, LV Lima, EL Flores, ...
Expert Systems with Applications 83, 79-93, 2017
252017
Classification of breast and colorectal tumors based on percolation of color normalized images
GF Roberto, MZ Nascimento, AS Martins, TAA Tosta, PR Faria, LA Neves
Computers & Graphics 84, 134-143, 2019
242019
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
DLL De Oliveira, MZ Do Nascimento, LA Neves, MF De Godoy, ...
Expert Systems with Applications 40 (18), 7331-7340, 2013
242013
Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer
LA Neves, MZ Nascimento, DLL Oliveira, AS Martins, MF Godoy, ...
Expert systems with applications 41 (11), 5017-5029, 2014
222014
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
AB Silva, AS Martins, TAA Tosta, LA Neves, JPS Servato, MS de Araújo, ...
Expert Systems with Applications 193, 116456, 2022
202022
Color normalization of faded H&E-stained histological images using spectral matching
TAA Tosta, PR de Faria, LA Neves, MZ do Nascimento
Computers in biology and medicine 111, 103344, 2019
192019
Classification of histological images based on the stationary wavelet transform
MZ Nascimento, L Neves, SC Duarte, YAS Duarte, VR Batista
Journal of Physics: Conference Series 574 (1), 012133, 2015
192015
Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm
TAA Tosta, PR Faria, LA Neves, MZ do Nascimento
Expert Systems with Applications 81, 223-243, 2017
172017
Automatic segmentation of digital images applied in cardiac medical images
FA Peres, FR Oliveira, LA Neves, MF Godoy
2010 Pan American Health Care Exchanges, 38-42, 2010
162010
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Artigos 1–20