Search Results for author:
Found 11 papers, 1 papers with code
Detection and classification of masses in mammographic images in a multi-kernel approach
As our proposed model can combine high accuracy rate with low learning time, whenever a new data is received, our work will be able to save a lot of time, hours, in learning process in relation to the best method of the state-of-the-art.
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images
Mammography image analysis is still the most effective diagnostic method to promote the early detection of breast cancer.
Dialectical Multispectral Classification of Diffusion-Weighted Magnetic Resonance Images as an Alternative to Apparent Diffusion Coefficients Maps to Perform Anatomical Analysis
The classification results are used to improve the usual analysis of the apparent diffusion coefficient map.
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images
In this work we present a new semi-supervised segmentation algorithm based on the modification of the GrowCut algorithm to perform automatic mammographic image segmentation once a region of interest is selected by a specialist.
Evaluation of Alzheimer's Disease by Analysis of MR Images using Multilayer Perceptrons and Kohonen SOM Classifiers as an Alternative to the ADC Maps
Alzheimer's disease is the most common cause of dementia, yet hard to diagnose precisely without invasive techniques, particularly at the onset of the disease.
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering
In order to build a computational process based on dialectics, the interaction between poles can be modeled using fuzzy membership functions.
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões
The importance of organizing medical images according to their nature, application and relevance is increasing.
Avaliação da doença de Alzheimer pela análise multiespectral de imagens DW-MR por redes RBF como alternativa aos mapas ADC
Alzheimer's disease is the most common cause of dementia, yet difficult to accurately diagnose without the use of invasive techniques, particularly at the beginning of the disease.
Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm
In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS).
Avaliação do método dialético na quantização de imagens multiespectrais
This paper presents an evaluation of four methods based on the Dialectics: the Objective Dialectical Classifier and the Dialectical Optimization Method adapted to build a version of k-means with optimal quality indices; each of them is presented in two versions: a canonical version and another version obtained by applying the Principle of Maximum Entropy.
An Adaptive Fuzzy-Based System to Simulate, Quantify and Compensate Color Blindness
We also proposed four new methods to correct color blindness based on a fuzzy approach: Methods A and B, with and without histogram equalization.
