T. A. A. Tosta

发表

Classification of non-Hodgkin lymphomas based on sample entropy signatures

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

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

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

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.

A Hermite polynomial algorithm for detection of lesions in lymphoma images

Alessandro Santana Martins, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, 2020, Pattern Analysis and Applications.

Colours of war: visual signals may influence the outcome of territorial contests in the tiger damselfly, Tigriagrion aurantinigrum

T. A. A. Tosta, R. Guillermo‐Ferreira, K. Del‐Claro, 2017 .

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.

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..

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..

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.

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.

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..

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.

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).

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..

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.

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..

Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier

T. A. A. Tosta, L. A. Neves, A. S. Martins, 2023, Multimedia Tools and Applications.

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 neural networks trained with evolutionary algorithms for the classification of breast cancer histological images

T. A. A. Tosta, L. A. Neves, A. S. Martins, 2023, Expert Systems with Applications.

Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images

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

A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis

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).

Classification of Multiple H&E Images via an Ensemble Computational Scheme

T. A. A. Tosta, A. Barbosa-Silva, Leonardo C. Longo, 2023, Entropy.