A deep fuzzy model for diagnosis of COVID-19 from CT images
From early 2020, a novel coronavirus disease pneumonia has shown a global “pandemic”
trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major …
trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major …
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review
Over the past 10 years, machine vision (MV) algorithms for image analysis have been
developing rapidly with computing power. At the same time, histopathological slices can be …
developing rapidly with computing power. At the same time, histopathological slices can be …
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
Classification of histology images is a task that has been widely explored on recent
computer vision researches. The most studied approach for this task has been the …
computer vision researches. The most studied approach for this task has been the …
What can machine vision do for lymphatic histopathology image analysis: A comprehensive review
In the past ten years, the computing power of machine vision (MV) has been continuously
improved, and image analysis algorithms have developed rapidly. At the same time …
improved, and image analysis algorithms have developed rapidly. At the same time …
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 …
Classification of Multiple H&E Images via an Ensemble Computational Scheme
In this work, a computational scheme is proposed to identify the main combinations of
handcrafted descriptors and deep-learned features capable of classifying histological …
handcrafted descriptors and deep-learned features capable of classifying histological …
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 …
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 …
Evaluation of statistical and Haralick texture features for lymphoma histological images classification
TA Azevedo Tosta, PR de Faria, LA Neves… - Computer Methods in …, 2021 - Taylor & Francis
The investigation of different types of cancer can be performed by images classification with
features extracted from specific regions identified by a segmentation step. Therefore, this …
features extracted from specific regions identified by a segmentation step. Therefore, this …
Classification of lymphomas images with polynomial strategy: An application with Ridge regularization
DC Pereira, LC Longo, TAA Tosta… - 2022 35th SIBGRAPI …, 2022 - ieeexplore.ieee.org
Histological image analysis through systems to aid diagnosis plays an important role in
medicine with supplementary reading for the specialist's diagnosis. This work proposes a …
medicine with supplementary reading for the specialist's diagnosis. This work proposes a …