Classification of non-Hodgkin lymphomas based on sample entropy signatures
Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas
have been increasingly developed to assist specialists in their decision-making. On the …
have been increasingly developed to assist specialists in their decision-making. On the …
Classification of colorectal cancer based on the association of multidimensional and multiresolution features
Colorectal cancer is one of the most common types of cancer according to worldwide
incidences statistics. The correct diagnosis of this lesion leads to the indication of the most …
incidences statistics. The correct diagnosis of this lesion leads to the indication of the most …
Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer
LFS Dos Santos, LA Neves, GB Rozendo… - Computers in biology …, 2018 - Elsevier
In this study, we propose to use a method based on the combination of sample entropy with
multiscale and multidimensional approaches, along with a fuzzy function. The model was …
multiscale and multidimensional approaches, along with a fuzzy function. The model was …
Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure
We propose lacunarity as a novel recurrence quantification measure and illustrate its
efficacy to detect dynamical regime transitions which are exhibited by many complex real …
efficacy to detect dynamical regime transitions which are exhibited by many complex real …
Features based on the percolation theory for quantification of non-hodgkin lymphomas
Non-Hodgkin lymphomas are a health problem that affects over 70,000 people per year in
the United States alone. The early diagnosis and the identification of this lymphoma are …
the United States alone. The early diagnosis and the identification of this lymphoma are …
Selection of cnn, haralick and fractal features based on evolutionary algorithms for classification of histological images
D Candelero, GF Roberto… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
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 …
important role in medicine. Considering that, we proposed a method based on the …
Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors
Chemoresponsive liquid crystals (LCs) can be engineered to generate information-rich
optical responses (in the form of space–time color and brightness patterns) when they are …
optical responses (in the form of space–time color and brightness patterns) when they are …
Analysis of cancer in histological images: employing an approach based on genetic algorithm
DF Taino, MG Ribeiro, GF Roberto… - Pattern Analysis and …, 2021 - Springer
The analysis of histological images is based on visual assessment of tissues by specialists
using an optical microscopy. This task can be time-consuming and challenging, mainly due …
using an optical microscopy. This task can be time-consuming and challenging, mainly due …
A hermite polynomial algorithm for detection of lesions in lymphoma images
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 …
staining protocol. Lymphoma is a type of malignant disease which affects one of the highest …
Analysis of the influence of color normalization in the classification of non-hodgkin lymphoma images
In this work, a method is proposed to analyze the influence of color normalization in the
classification lymphoma images. The approach combines multidimensional fractal …
classification lymphoma images. The approach combines multidimensional fractal …