Flávio H. D. Araújo

Orcid: 0000-0003-2824-2645

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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
MFCC-based descriptor for bee queen presence detection.
Expert Syst. Appl., 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

Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods.
Proceedings of the IEEE Symposium on Computers and Communications, 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

Banknote Identification Methodology for Visually Impaired People.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

A Capsule Network-based for identification of Glaucoma in retinal images.
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

Diagnosis of COVID-19 in CT image using CNN and XGBoost.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Lung CT Screening With 3D Convolutional Neural Network Architectures.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Automatic Segmentation of Lung Nodules in CT Images Using Deep Learning.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil.
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

Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images.
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

ABCD rule and pre-trained CNNs for melanoma diagnosis.
Multim. Tools Appl., 2019

Radial feature descriptors for cell classification and recommendation.
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

Deep learning for cell image segmentation and ranking.
Comput. Medical Imaging Graph., 2019

2018
Reverse image search for scientific data within and beyond the visible spectrum.
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

A multi-objective approach for calibration and detection of cervical cells nuclei.
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

Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Convolutional neural networks at the interface of physical and digital data.
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


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