Computational normalization of H&E-stained histological images: Progress, challenges and future potential
Different types of cancer can be diagnosed with the analysis of histological samples stained
with hematoxylin–eosin (H&E). Through this stain, it is possible to identify the architecture of …
with hematoxylin–eosin (H&E). Through this stain, it is possible to identify the architecture of …
[HTML][HTML] 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 …
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 …
Classification of breast and colorectal tumors based on percolation of color normalized images
Percolation is a fractal descriptor that has been applied recently on computer vision
problems. We applied this descriptor on 58 colored histological breast images, and 165 …
problems. We applied this descriptor on 58 colored histological breast images, and 165 …
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 …
Lymphoma images analysis using morphological and non-morphological descriptors for classification
MZ do Nascimento, AS Martins, TAA Tosta… - Computer methods and …, 2018 - Elsevier
Mantle cell lymphoma, follicular lymphoma and chronic lymphocytic leukemia are the
principle subtypes of the non-Hodgkin lymphomas. The diversity of clinical presentations …
principle subtypes of the non-Hodgkin lymphomas. The diversity of clinical presentations …
Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images
R Ferjaoui, MA Cherni, S Boujnah, NEH Kraiem… - Computer Methods and …, 2021 - Elsevier
Background: After the treatment of the patients with malignant lymphoma, there may persist
lesions that must be labeled either as evolutive lymphoma requiring new treatments or as …
lesions that must be labeled either as evolutive lymphoma requiring new treatments or as …
[HTML][HTML] 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 …