Flávio H. D. Araújo
Orcid: 0000-0003-2824-2645Affiliations:
- Federal University of Piauí, Picos, Piauí, Brazil
According to our database1,
Flávio H. D. Araújo
authored at least 41 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features.
Multim. Tools Appl., November, 2023
Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023
2022
A ensemble methodology for automatic classification of chest X-rays using deep learning.
Comput. Biol. Medicine, 2022
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment.
Biomed. Signal Process. Control., 2022
2021
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model.
Sensors, 2021
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms.
Comput. Biol. Medicine, 2021
A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images.
Biomed. Signal Process. Control., 2021
Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 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
Proceedings of the XLVII Latin American Computing Conference, 2021
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 2020 International Conference on Systems, Signals and Image Processing, 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
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Automatic Identification of Metastasis in Histopathological 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
2019
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets.
Pattern Recognit. Lett., 2019
J. Vis. Commun. Image Represent., 2019
An hybrid feature space from texture information and transfer learning for glaucoma classification.
J. Vis. Commun. Image Represent., 2019
Recent computational methods for white blood cell nuclei segmentation: A comparative study.
Comput. Methods Programs Biomed., 2019
Comput. Medical Imaging Graph., 2019
2018
Expert Syst. Appl., 2018
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification.
Eng. Appl. Artif. Intell., 2018
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018
2017
Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Using machine learning to support healthcare professionals in making preauthorisation decisions.
Int. J. Medical Informatics, 2016
Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction.
CLEI Electron. J., 2016
Proceedings of the IEEE International Symposium on Multimedia, 2016
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016
2015
Automatic Detection of Glaucoma Using Disc Optic Segmentation and Feature Extraction.
Proceedings of the 2015 Latin American Computing Conference, 2015
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2013
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013