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Flávio H. D. Araújo
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- affiliation: Federal University of Piauí, Picos, Piauí, Brazil
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2020 – today
- 2023
- [j19]Daniel S. Luz
, Tomaz Bisneto
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. 11(5): 1889-1896 (2023) - [j18]Thiago José Barbosa Lima
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features. Multim. Tools Appl. 82(27): 42977-42993 (2023) - 2022
- [j17]Daniel S. Luz
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment. Biomed. Signal Process. Control. 75: 103564 (2022) - [j16]Luis H. S. Vogado, Flávio H. D. Araújo, Pedro de A. Santos Neto
A ensemble methodology for automatic classification of chest X-rays using deep learning. Comput. Biol. Medicine 145: 105442 (2022) - [j15]Bianca Sousa Soares
MFCC-based descriptor for bee queen presence detection. Expert Syst. Appl. 201: 117104 (2022) - 2021
- [j14]Justino Santos
A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. Biomed. Signal Process. Control. 70: 103020 (2021) - [j13]Edson Damasceno Carvalho
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. Comput. Biol. Medicine 136: 104744 (2021) - [j12]Luis H. S. Vogado, Rodrigo Veras
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. Sensors 21(9): 2989 (2021) - [c22]Júlio César da Silva Soares
Classification of pollen grain images with MobileNet. CLEI 2021: 1-10 - [c21]Edson Damasceno Carvalho, Romuere Rôdrigues Veloso e Silva, Mano Joseph Mathew
Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods. ISCC 2021: 1-6 - [c20]José Anatiel Gonçalves Santos Landim, Flávio Henrique Duarte de Araújo, Mano Joseph Mathew
An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods. ISCC 2021: 1-6 - [c19]Luis H. S. Vogado, Pablo Vieira, Pedro de A. Santos Neto, Lucas A. Lopes, Gleison de Andrade e Silva Silva, Flávio H. D. Araújo, Rodrigo Veras
Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network. SAC 2021: 629-636 - 2020
- [j11]Edson Damasceno Carvalho
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105: 101845 (2020) - [c18]Helio R. V. de Couto Junior, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Romuere R. V. e Silva
Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images. HealthCom 2020: 1-6 - [c17]Daniel S. Luz
Automatic Identification of Metastasis in Histopathological Images Using Deep Learning. HealthCom 2020: 1-6 - [c16]Patrick Ryan Sales dos Santos
Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. HealthCom 2020: 1-6 - [c15]Acucena R. S. Soares, Thiago José Barbosa Lima
Automatic Segmentation of Lung Nodules in CT Images Using Deep Learning. HealthCom 2020: 1-6 - [c14]Thiago José Barbosa Lima
Lung CT Screening With 3D Convolutional Neural Network Architectures. ISBI Workshops 2020: 1-4 - [c13]Edson Damasceno Carvalho
Diagnosis of COVID-19 in CT image using CNN and XGBoost. ISCC 2020: 1-6 - [c12]Thiago José Barbosa Lima
Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images. ISCC 2020: 1-6 - [c11]Patrick Ryan Sales dos Santos
A Capsule Network-based for identification of Glaucoma in retinal images. ISCC 2020: 1-6 - [c10]Leonardo Pereira Sousa, Rodrigo M. S. Veras
Banknote Identification Methodology for Visually Impaired People. IWSSIP 2020: 261-266 - [c9]Wilson Leal Rodrigues Junior, Dyôgo Medeiros Reis, Fábbio Anderson Silva Borges, Flávio Henrique Duarte de Araújo, Antônio Oséas de Carvalho Filho, Ricardo de Andrade Lira Rabelo:
Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System. SMC 2020: 2836-2841
2010 – 2019
- 2019
- [j10]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva
Deep learning for cell image segmentation and ranking. Comput. Medical Imaging Graph. 72: 13-21 (2019) - [j9]Alan R. Andrade, Luis H. S. Vogado, Rodrigo de Melo Souza Veras
Recent computational methods for white blood cell nuclei segmentation: A comparative study. Comput. Methods Programs Biomed. 173: 1-14 (2019) - [j8]Romuere R. V. e Silva
Radial feature descriptors for cell classification and recommendation. J. Vis. Commun. Image Represent. 62: 105-116 (2019) - [j7]Maíla de Lima Claro, Rodrigo Veras
An hybrid feature space from texture information and transfer learning for glaucoma classification. J. Vis. Commun. Image Represent. 64 (2019) - [j6]Nayara Holanda de Moura, Rodrigo de Melo Souza Veras
ABCD rule and pre-trained CNNs for melanoma diagnosis. Multim. Tools Appl. 78(6): 6869-6888 (2019) - [j5]Allan C. Carneiro
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets. Pattern Recognit. Lett. 125: 694-700 (2019) - 2018
- [j4]Luis H. S. Vogado, Rodrigo M. S. Veras
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Eng. Appl. Artif. Intell. 72: 415-422 (2018) - [j3]Flávio H. D. Araújo
Reverse image search for scientific data within and beyond the visible spectrum. Expert Syst. Appl. 109: 35-48 (2018) - [c8]Nayara Holanda de Moura, Rodrigo M. S. Veras
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. ISCC 2018: 508-513 - 2017
- [c7]Paulo H. C. Oliveira, Gladston Moreira
A multi-objective approach for calibration and detection of cervical cells nuclei. CEC 2017: 2321-2327 - [c6]Luis Henrique Silva Vogado, Rodrigo de Melo Souza Veras
Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks. SIBGRAPI 2017: 367-373 - 2016
- [j2]Maíla de Lima Claro, Leonardo de Moura Santos, Wallinson Lima e Silva, Flávio Henrique Duarte de Araújo, Nayara Holanda de Moura, André Macedo Santana:
Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction. CLEI Electron. J. 19(2): 4 (2016) - [j1]Flávio H. D. Araújo, André M. Santana, Pedro de A. Santos Neto:
Using machine learning to support healthcare professionals in making preauthorisation decisions. Int. J. Medical Informatics 94: 1-7 (2016) - [c5]Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva
Convolutional neural networks at the interface of physical and digital data. AIPR 2016: 1-12 - [c4]Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Alan R. Andrade, Romuere R. V. e Silva
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. ISM 2016: 451-456 - 2015
- [c3]Rodrigo M. S. Veras
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. BRACIS 2015: 316-321 - [c2]Malla Claro, Leonardo Santos, Wallinson Silva, Flávio H. D. Araújo, Alcilene Dalília de Sousa, André Santana:
Automatic Detection of Glaucoma Using Disc Optic Segmentation and Feature Extraction. CLEI 2015: 1-7 - 2013
- [c1]Flávio H. D. Araújo, Lailson B. Moraes, André M. Santana, Pedro de A. Santos Neto, Paulo J. L. Adeodato
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company. CBMS 2013: 23-28
Coauthor Index
aka: Antônio Oséas de Carvalho Filho
aka: Antonio Oseas Carvalho Filho
aka: Antonio Oseas
aka: Ricardo de A. L. Rabelo
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