Romuere Rôdrigues Veloso e Silva

Orcid: 0000-0002-7163-7469

Affiliations:
  • Federal University of Piauí, Department of Computer Science, Brazil


According to our database1, Romuere Rôdrigues Veloso e Silva authored at least 43 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Glomerulosclerosis detection with pre-trained CNNs ensemble.
Comput. Stat., April, 2024

2023
Deep learning approach for disease detection in lumbosacral spine radiographs using ConvNet.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

Automatic detection of Visceral Leishmaniasis in humans using Deep Learning.
Signal Image Video Process., October, 2023

CBIR-SAR System Using Stochastic Distance.
Sensors, July, 2023

2022
Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning.
Multim. Syst., 2022

Um método automático para rotulagem de documentos médicos e categorização.
Braz. J. Inf. Syst., 2022

MFCC-based descriptor for bee queen presence detection.
Expert Syst. Appl., 2022

Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment.
Biomed. Signal Process. Control., 2022

Ensemble of Classifiers for Multilabel Clinical Text Categorization in Portuguese.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Detection of COVID-19 in Computed Tomography Images Using Deep Learning.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Visceral Leishmaniasis Detection Using Deep Learning Techniques and Multiple Color Space Bands.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

2021
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model.
Sensors, 2021

Detecting pulmonary diseases using deep features in X-ray images.
Pattern Recognit., 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

Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods.
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

Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine, 2020

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

Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 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

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

Automatic Segmentation of Melanoma Skin Cancer Using Deep Learning.
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
Detection of helmets on motorcyclists.
Multim. Tools Appl., 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
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
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

2013
Assessing the accuracy of macula detection methods in retinal images.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Automatic detection of motorcyclists without helmet.
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

2012
Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012


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