Automatic segmentation of coronary arteries in X-ray angiograms using multiscale analysis and artificial neural networks
F Cervantes-Sanchez, I Cruz-Aceves… - Applied Sciences, 2019 - mdpi.com
This paper presents a novel method for the automatic segmentation of coronary arteries in X-
ray angiograms, based on multiscale analysis and neural networks. The multiscale analysis …
ray angiograms, based on multiscale analysis and neural networks. The multiscale analysis …
Deep learning recognition of diseased and normal cell representation
Cell classification refers to detecting normal and diseased cells from small amount of data.
Sometimes, classification of cells becomes difficult because some cells fall into more than …
Sometimes, classification of cells becomes difficult because some cells fall into more than …
Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer
The evolution of personalized medicine has changed the therapeutic strategy from classical
chemotherapy and radiotherapy to a genetic modification targeted therapy, and although …
chemotherapy and radiotherapy to a genetic modification targeted therapy, and although …
Benchmarking HEp-2 specimen cells classification using linear discriminant analysis on higher order spectra features of cell shape
Abstract Human Epithelial Type-2 (HEp-2) specimen patterns in microscopic images have
been widely used for diagnosing autoimmune diseases. Manual cell classification is …
been widely used for diagnosing autoimmune diseases. Manual cell classification is …
Efficient cell classification of mitochondrial images by using deep learning
Key challenges for affected cells, evolutionary biology and precision medicine include the
effect of drug and understanding viscosity and intensity of drug-treated cells. However, this is …
effect of drug and understanding viscosity and intensity of drug-treated cells. However, this is …
IoMT-based automated diagnosis of autoimmune diseases using multistage classification scheme for sustainable smart cities
The resolution of complex medical diagnoses using pattern recognition requires an artificial
neural network-based expert system to automate autoimmune disease diagnosis in blood …
neural network-based expert system to automate autoimmune disease diagnosis in blood …
Deep convolutional neural network for HEp-2 fluorescence intensity classification
Featured Application In this paper we describe an automatic system for fluorescence
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
HEp-2 staining pattern recognition at cell and specimen levels: datasets, algorithms and results
Abstract The Indirect Immunofluorescence (IIF) protocol applied on Human Epithelial type 2
(HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The …
(HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The …
Deep CNN for IIF images classification in autoimmune diagnostics
The diagnosis and monitoring of autoimmune diseases are very important problem in
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
Computer‐assisted classification patterns in autoimmune diagnostics: the AIDA Project
A Benammar Elgaaied, D Cascio… - BioMed research …, 2016 - Wiley Online Library
Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune
diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and …
diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and …