Azael de Melo e Sousa

According to our database, Azael de Melo e Sousa authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

A Flyweight CNN with Adaptive Decoder for Schistosoma mansoni Egg Detection.

Leonardo de Melo Joao, Azael de Melo e Sousa, Bianca Martins dos Santos, Silvio Jamil Ferzoli Guimarães, Jancarlo Ferreira Gomes, Ewa Kijak, Alexandre Xavier Falcão

CoRR, 2023

2022

Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura.

Azael de Melo e Sousa, Ilan F. Da Silva, Noemí Maritza Lapa Romero, Rachel Zerbini, Fabiano Reis, João Luiz Dihl Comba, Alexandre X. Falcão

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Differential Dynamic Trees for Interactive Image Segmentation.

Ilan F. Da Silva, Azael de Melo e Sousa, Alexandre X. Falcão, Jordão Bragantini

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images.

Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Improving Lung Nodule Detection with Learnable Non-Maximum Suppression.

Elvis R. Capia, Azael de Melo e Sousa, Alexandre X. Falcão

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

An Approach for Asbestos-related Pleural Plaque Detection.

Azael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax.

Azael de Melo e Sousa, Alexandre Xavier Falcão, Ericson Bagatin, Gustavo Souza Meirelles

Proceedings of the Medical Imaging 2019: Image Processing, 2019