Elizângela de S. Rebouças

According to our database, Elizângela de S. Rebouças authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Fully Automatic Approach for COVID-19 Diagnosis in CT Imaging: Integrating Lung Segmentation, Fine-Tuning and Grad-CAM Visualization.

Matheus A. dos Santos, Iágson Carlos Lima Silva, Lucas de O. Santos, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho, Houbing Herbert Song

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2022

A Text Classification Methodology to Assist a Large Technical Support System.

Elene Firmeza Ohata, César Lincoln Cavalcante Mattos, Samuel Luz Gomes, Elizângela de S. Rebouças, Paulo Antonio Leal Rego

IEEE Access, 2022

2021

Level set approach based on Parzen Window and floor of log for edge computing object segmentation in digital images.

Elizângela de S. Rebouças, Fátima Nelsizeuma Sombra de Medeiros, Régis C. P. Marques, João Victor Souza das Chagas, Matheus T. Guimarães, Lucas de O. Santos, Aldísio Gonçalves Medeiros, Solon Alves Peixoto

Appl. Soft Comput., 2021

2020

Fast fully automatic skin lesions segmentation probabilistic with Parzen window.

João Victor Souza das Chagas, Roberto F. Ivo, Matheus T. Guimarães, Douglas de A. Rodrigues, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho

Comput. Medical Imaging Graph., 2020

New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image.

Aldísio Gonçalves Medeiros, Lucas de O. Santos, Róger Moura Sarmento, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

New level set approach based on Parzen estimation for stroke segmentation in skull CT images.

Elizângela de S. Rebouças, Régis C. P. Marques, Alan M. Braga, Saulo A. F. Oliveira, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

Soft Comput., 2019

2018

A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis.

João Wellington M. Souza, Shara Shami A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho

Comput. Intell. Neurosci., 2018

2017

Analysis of human tissue densities: A new approach to extract features from medical images.

Pedro Pedrosa Rebouças Filho, Elizângela de S. Rebouças, Leandro Bezerra Marinho, Róger M. Sarmento, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque

Pattern Recognit. Lett., 2017

Embedded real-time speed limit sign recognition using image processing and machine learning techniques.

Samuel Luz Gomes, Elizângela de S. Rebouças, Edson Cavalcanti Neto, João P. Papa, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, João Manuel R. S. Tavares

Neural Comput. Appl., 2017

Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images.

Elizângela de S. Rebouças, Alan M. Braga, Róger Moura Sarmento, Régis C. P. Marques, Pedro Pedrosa Rebouças Filho

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017