Antonio Oseas de Carvalho Filho
Orcid: 0000-0001-9241-1277
According to our database1,
Antonio Oseas de Carvalho Filho
authored at least 37 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images.
Expert Syst. Appl., December, 2023
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features.
Multim. Tools Appl., November, 2023
2021
A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals.
SN Comput. Sci., 2021
COVID-index: A texture-based approach to classifying lung lesions based on CT images.
Pattern Recognit., 2021
Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network.
Neurocomputing, 2021
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms.
Comput. Biol. Medicine, 2021
BacillusNet: An automated approach using RetinaNet for segmentation of pulmonary Tuberculosis bacillus.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
2020
Texture analysis of lung nodules in computerized tomography images using functional diversity.
Comput. Electr. Eng., 2020
Generative adversarial network and texture features applied to automatic glaucoma detection.
Appl. Soft Comput., 2020
Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine, 2020
Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images.
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Automatic Diagnostic of the Presence of Exudates in Retinal Images Using Deep Learning.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
COVID-19 diagnosis in CT images using CNN to extract features and multiple classifiers.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2018
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network.
Pattern Recognit., 2018
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance.
Medical Biol. Eng. Comput., 2018
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma.
Expert Syst. Appl., 2018
Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Automatic methods for diagnosis of glaucoma using texture descriptors based on phylogenetic diversity.
Comput. Electr. Eng., 2018
Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity.
Comput. Electr. Eng., 2018
Functional Diversity applied to the false positive reduction in breast tissues based on digital mammography.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018
2017
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM.
J. Signal Process. Syst., 2017
Medical Biol. Eng. Comput., 2017
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.
Medical Biol. Eng. Comput., 2017
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.
J. Digit. Imaging, 2017
Lung nodule classification using artificial crawlers, directional texture and support vector machine.
Expert Syst. Appl., 2017
2015
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.
J. Digit. Imaging, 2015
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM.
Comput. Biol. Medicine, 2015
Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
2014
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM.
Eng. Appl. Artif. Intell., 2014
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.
Artif. Intell. Medicine, 2014