Giovanni Lucca França da Silva
Orcid: 0000-0001-6370-939XAffiliations:
- Federal University of Maranhão, Brazil
According to our database1,
Giovanni Lucca França da Silva
authored at least 13 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023
2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl., 2021
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.
Expert Syst. Appl., 2021
2020
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
Medical Biol. Eng. Comput., 2020
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020
Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
2019
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Comput. Methods Programs Biomed., 2019
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance.
Medical Biol. Eng. Comput., 2018
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.
Comput. Methods Programs Biomed., 2018
2017
Multim. Tools Appl., 2017