Leonardo Henrique Da Costa Longo

According to our database, Leonardo Henrique Da Costa Longo authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Exploring DeepDream and XAI Representations for Classifying Histological Images.

João Manoel Cardoso Martinez, Leandro Alves Neves, Leonardo Henrique Da Costa Longo, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano Barbosa-Silva, Marcelo Zanchetta do Nascimento

SN Comput. Sci., April, 2024

2023

Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers.

Leandro Alves Neves, João Manuel Cardoso Martinez, Leonardo Henrique Da Costa Longo, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano Barbosa-Silva, Marcelo Zanchetta do Nascimento, Guilherme Botazzo Rozendo

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

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

Danilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, Marcelo Zanchetta do Nascimento

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.

Guilherme Freire Roberto, Leandro Alves Neves, Leonardo Henrique Da Costa Longo, Guilherme Botazzo Rozendo, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento

Softw. Impacts, December, 2022

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

Danilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento

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.

Jaqueline Junko Tenguam, Leonardo Henrique Da Costa Longo, Adriano Barbosa-Silva, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

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.

Luiz Fernando Segato dos Santos, Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Thaína Aparecida Azevedo Tosta, Leonardo Henrique Da Costa Longo, Leandro Alves Neves

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.

Leonardo Henrique Da Costa Longo, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento, Luiz Fernando Segato dos Santos, Guilherme Freire Roberto, Leandro Alves Neves

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

2021

A Hermite polynomial algorithm for detection of lesions in lymphoma images.

Alessandro Santana Martins, Leandro Alves Neves, Paulo Rogério de Faria, Thaína A. A. Tosta, Leonardo C. Longo, Adriano Barbosa-Silva, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento

Pattern Anal. Appl., 2021

2019

Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images.

Alessandro Santana Martins, Leandro Alves Neves, Paulo Rogério de Faria, Thaína A. A. Tosta, Daniel O. Tambasco Bruno, Leonardo C. Longo, Marcelo Zanchetta do Nascimento

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2017

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

Guilherme Freire Roberto, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Thaína Aparecida Azevedo Tosta, Leonardo C. Longo, Alessandro Santana Martins, Paulo Rogério de Faria

Comput. Biol. Medicine, 2017