M. Z. Nascimento

发表

An interactive programme for weighted Steiner trees

M. D. do Nascimento, M. Z. Nascimento, V. Batista, 2015 .

Segmentation methods of H&E-stained histological images of lymphoma: A review

T. A. A. Tosta, L. A. Neves, M. Z. Nascimento, 2017 .

Lung Nodule Classi cation Based on Deep Convolutional Neural Networks in Chest X-Ray Images Classi cação de Nódulos Pulmonares Baseada em Redes Neurais Convolucionais Profundas

Julio Cesar Mendoza Bobadilla, H. Pedrini, Ana Regina Machado, 2018 .

Classification of mammographic lesion based in Completed Local Binary Pattern and using multiresolution representation

M. Z. Nascimento, Y. A. S. Duarte, D. L. Oliveira, 2014 .

Investigating the Performance of Various Deep Neural Networks-based Approaches Designed to Identify Game Events in Gameplay Footage

Rita Maria da Silva Julia, Matheus Prado Prandini Faria, Etienne Silva Julia, 2022, Proc. ACM Comput. Graph. Interact. Tech..

Applying Enhancement Filters in the Pre-processing of Images of Lymphoma

L. A. Neves, M. Z. Nascimento, V. Batista, 2015 .

Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, CIARP.

Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Domingos Lucas Latorre de Oliveira, 2013, Expert Syst. Appl..

Computational normalization of H&E-stained histological images: Progress, challenges and future potential

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Paulo Rogério de Faria, 2019, Artif. Intell. Medicine.

Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm

Marcelo Zanchetta do Nascimento, Rodrigo Pereira Ramos, Danilo Cesar Pereira, 2014, Comput. Methods Programs Biomed..

Stree: An Interactive Program for Weighted Steiner Trees

Marcelo Zanchetta do Nascimento, Valério Ramos Batista, Wendhel Raffa Coimbra, 2016, J. Softw..

Features based on the percolation theory for quantification of non-Hodgkin lymphomas

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2017, Comput. Biol. Medicine.

Lymphoma images analysis using morphological and non-morphological descriptors for classification

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2018, Comput. Methods Programs Biomed..

Classification of Histological Images Based on the Stationary Wavelet Transform

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, V. Ramos Batista, 2015 .

Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks

Marcelo Zanchetta do Nascimento, Dalí F. D. dos Santos, Bruno A. N. Travençolo, 2021, Biomed. Signal Process. Control..

Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections

T. A. A. Tosta, L. A. Neves, M. Z. Nascimento, 2022, Expert Syst. Appl..

A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, CIARP.

Classification of colorectal cancer based on the association of multidimensional and multiresolution features

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, Expert Syst. Appl..

A Method For Multiclass Lymphoma Classification Based on Morphological and Non-Morphological Descriptors

M. Z. Nascimento, L. G. A. Martins, Tiago P. de Faria, 2021, Anais do XVII Workshop de Visão Computacional (WVC 2021).

Color normalization of faded H&E-stained histological images using spectral matching

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Paulo Rogério de Faria, 2019, Comput. Biol. Medicine.

Texture extraction: An evaluation of ridgelet, wavelet and co-occurrence based methods applied to mammograms

Marcelo Zanchetta do Nascimento, Rodrigo Pereira Ramos, Danilo Cesar Pereira, 2012, Expert Syst. Appl..

Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Paulo Rogério de Faria, 2018, Appl. Soft Comput..

LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2016, Expert Syst. Appl..

Recognition of Emotions for People with Autism: An Approach to Improve Skills

M. Z. Nascimento, A. C. Dantas, 2022, Int. J. Comput. Games Technol..

Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multiscale Tetrahedral Meshes for FEM Simulations of Esophageal Injury

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Carlos Roberto Valêncio, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Numerics on the trajectory of nodule displacements by external compressions of the breast pdf

Marcelo Zanchetta do Nascimento, Val'erio Ramos Batista, M. Z. Nascimento, 2019, ArXiv.

Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Matheus Gonçalves Ribeiro, 2018, Comput. Biol. Medicine.

Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2018, SIBGRAPI.

Exploring Mesh Generation and Quality Enhancement with Open Source Codes

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Carlos Roberto Valêncio, 2018, J. Comput. Sci..

Programming plantation lines on driverless tractors pdf

Antonio Elias Fabris, Marcelo Zanchetta do Nascimento, Valério Ramos Batista, 2014, ArXiv.

Algorithms for automatic segmentation of bovine embryos produced in vitro

K. Annes, M. Z. Nascimento, D H Melo, 2014 .

Classification of masses in mammographic image using wavelet domain features and polynomial classifier

Alessandro Santana Martins, Leandro Alves Neves, Edna Lúcia Flôres, 2013, Expert Syst. Appl..

Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading

T. A. A. Tosta, L. A. Neves, M. Z. Nascimento, 2022, 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Impacts of Color Space Transformations on Dysplastic Nuclei Segmentation Using CNN

B. Travençolo, M. Z. Nascimento, D. Santos, 2020, Anais do XVI Workshop de Visão Computacional (WVC 2020).

Unsupervised method for normalization of hematoxylin-eosin stain in histological images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, Comput. Medical Imaging Graph..

Evaluation of statistical and Haralick texture features for lymphoma histological images classification

Thaína A. Azevedo Tosta, Paulo R. de Faria, Leandro A. Neves, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Comparison of PCA and ANOVA for Information Selection of CC and MLO Views in Classification of Mammograms

Marcelo Zanchetta do Nascimento, Rodrigo Pereira Ramos, Ricardo de Souza Jacomini, 2012, IDEAL.

Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2014, Expert Syst. Appl..

Teaching Graphics and Image Processing in the Scope of Information Engineering

Marcelo Zanchetta do Nascimento, Celso Setsuo Kurashima, M. Z. Nascimento, 2008 .

Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Alessandra Lumini, 2021, Expert Syst. Appl..

Classification of breast and colorectal tumors based on percolation of color normalized images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, Comput. Graph..

Analysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2019, CIARP.

A stain color normalization with robust dictionary learning for breast cancer histological images processing

T. A. A. Tosta, L. A. Neves, M. Z. Nascimento, 2023, Biomed. Signal Process. Control..

Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images

Guilherme Botazzo Rozendo, A. Lumini, T. A. A. Tosta, 2023, 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).

Classification of lymphomas images with polynomial strategy: An application with Ridge regularization

T. A. A. Tosta, L. A. Neves, M. Z. Nascimento, 2022, 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Exploring polynomial classifier to predict match results in football championships

Rodrigo G. Martins, Alessandro Santana Martins, Leandro Alves Neves, 2017, Expert Syst. Appl..

CNN Ensembles for Nuclei Segmentation on Histological Images of OED

Guilherme Botazzo Rozendo, A. Lumini, L. A. Neves, 2023, 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).

Classification of non-Hodgkin lymphomas based on sample entropy signatures

Guilherme Freire Roberto, Guilherme Botazzo Rozendo, M. D. do Nascimento, 2022, Expert Syst. Appl..

Automated Nuclei Segmentation on Dysplastic Oral Tissues Using CNN

Marcelo Zanchetta do Nascimento, Dalí F. D. dos Santos, Thaína A. A. Tosta, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

Tetrahedral Mesh Segmentation Based on Quality Criteria

Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Carlos Roberto Valêncio, 2016, 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).