Buscar
Mostrando ítems 31-40 de 96
Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available dataset: Evaluation
(American Association of Physicists in Medicine, 2017-12)
Purpose: Diabetic retinopathy (DR) is one of the most widespread causes of preventable blindness in the world. The most dangerous stage of this condition is proliferative DR (PDR), in which the risk of vision loss is high ...
Plant identification based on leaf midrib cross-section images using fractal descriptors
(Public Library Science, 2015-06-19)
The correct identification of plants is a common necessity not only to researchers but also to the lay public. Recently, computational methods have been employed to facilitate this task, however, there are few studies front ...
Complexity of human postural control in young and older adults during prolonged standing
(SPRINGER, 2008)
Aging is known to have a degrading influence on many structures and functions of the human sensorimotor system. The present work assessed aging-related changes in postural sway using fractal and complexity measures of the ...
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images
(2020-12-16)
The analysis of histological image features for automatic detection of pathologies plays an important role in medicine. Considering that, we proposed a method based on the association of features extracted by multi-scale ...
Automatic method to classify images based on multiscale fractal descriptors and paraconsistent logic
(Iop Publishing Ltd, 2015)
Plant identification based on leaf midrib cross-section images using fractal descriptors
(Public Library of Science, 2015-06)
The correct identification of plants is a common necessity not only to researchers but also to the lay public. Recently, computational methods have been employed to facilitate this task, however, there are few studies front ...
Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images
(2019-01-01)
Lymphomas are neoplasms that originate in the lymphatic system and represent one of the most common types of cancer found in the World population. The feature analysis may contribute toward results of higher relevance in ...
Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
A Hermite polynomial algorithm for detection of lesions in lymphoma images
(2021-05-01)
There are different types of lesions that can be investigated with the hematoxylin–eosin staining protocol. Lymphoma is a type of malignant disease which affects one of the highest white blood cell populations responsible ...
Maximum entropy, fractal dimension and lacunarity in quantification of cellular rejection in myocardial biopsy of patients submitted to heart transplantation
(Iop Publishing Ltd, 2011-01-01)
This paper presents a method for the quantification of cellular rejection in endomyocardial biopsies of patients submitted to heart transplant. The model is based on automatic multilevel thresholding, which employs histogram ...