78 citations · 359 across the 17 of their papers we have counts for
18 papers
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…
Mathematical Morphology in Machine Learning
Erick Oliveira Rodrigues, Aura Conci
This work introduces mathematical morphology-an established visual computing theory-into machine learning to exploit shape and density aspects often overlooked by standard techniqu…
A Context-Aware Middleware for Medical Image Based Reports: An approach based on image feature extraction and association rules
Erick O. Rodrigues, Jose Viterbo, Aura Conci +1
This work proposes a context-aware middleware for medical workflow organization and efficiency improvement. In hospitals, laboratories and teleradiology companies, each physician o…
An Approach for Thyroid Nodule Analysis Using Thermographic Images
J. R. González, É. O. Rodrigues, C. P. Damião +6
Thyroid cancer is said to be the second most common type of cancer in female individuals and the third in males by 2030, according to projections. In general, detecting cancer in i…
ROI Extraction in Thermographic Breast Images Using Genetic Algorithms
LC Mendes, EO Rodrigues, Sandro C Izidoro +2
This work proposes the use of Genetic Algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color informat…
Fractal triangular search: a metaheuristic for image content search
Erick O. Rodrigues, Panos Liatsis, Luiz Satoru +1
This work proposes a variable neighbourhood search (FTS) that uses a fractal-based local search primarily designed for images. Searching for specific content in images is posed as…
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
Erick O. Rodrigues, Aura Conci, Panos Liatsis
Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy…
A simple approach for biometrics: Finger-knuckle prints recognition based on a Sobel filter and similarity measures
E. O. Rodrigues, T. M. Porcino, Aura Conci +1
The objective of this work is to propose a novel methodology for the finger knuckle print recognition, which is essentially a digital photo of the finger-knuckle region. We have em…
Proposal and study of statistical features for string similarity computation and classification
E. O. Rodrigues, D. Casanova, M. Teixeira +5
Adaptations of features commonly applied in the field of visual computing, co-occurrence matrix (COM) and run-length matrix (RLM), are proposed for the similarity computation of st…
Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases
E. O. Rodrigues, A. Conci, T. B. Borchartt +3
This paper examines the potential contribution of infrared (IR) imaging in breast diseases detection. It compares obtained results using some algorithms for detection of malignant…
k-MS: A novel clustering algorithm based on morphological reconstruction
É. O. Rodrigues, L. Torok, P. Liatsis +2
This work proposes a clusterization algorithm called k-Morphological Sets (k-MS), based on morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means…
Automated recognition of the pericardium contour on processed CT images using genetic algorithms
E. O. Rodrigues, L. O. Rodrigues, L. S. N. Oliveira +2
This work proposes the use of Genetic Algorithms (GA) in tracing and recognizing the pericardium contour of the human heart using Computed Tomography (CT) images. We assume that ea…
Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes
É. O. Rodrigues, V. H. A. Pinheiro, P. Liatsis +1
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that…
On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms
Érick Oliveira Rodrigues, Felipe Fernandes Cordeiro de Morais, Aura Conci
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type o…
Morphological classifiers
É. O. Rodrigues, A. Conci, P. Liatsis
This work proposes a new type of classifier called Morphological Classifier (MC). MCs aggregate concepts from mathematical morphology and supervised learning. The outcomes of this…
A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography
Érick Oliveira Rodrigues, FFC Morais, NAOS Morais +3
The deposits of fat on the surroundings of the heart are correlated to several health risk factors such as atherosclerosis, carotid stiffness, coronary artery calcification, atrial…
Distance Between Sets - A survey
A. Conci, C. S. Kubrusly
The purpose of this paper is to give a survey on the notions of distance between subsets either of a metric space or of a measure space, including definitions, a classification, an…
Rational Convolution Roots of Isobaric Polynomials
Aura Conci, Huilan Li, Trueman MacHenry
In this paper, we exhibit two matrix representations of the rational roots of generalized Fibonacci polynomials (GFPs) under convolution product, in terms of determinants and perma…