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Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

Expert systems with applications, 2018-11, Vol.110, p.250-263

2018

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3D shape analysis to reduce false positives for lung nodule detection systems

Medical & biological engineering & computing, 2017-08, Vol.55 (8), p.1199-1213

2017

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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM

Journal of digital imaging, 2017-12, Vol.30 (6), p.812-822

2017

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Automatic classification of breast lesions usingTransfer Learning

Revista IEEE América Latina, 2019-12, Vol.17 (12), p.1964-1969

2019

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Optimized Method for Locating the Source of Voltage Sags

Journal of Communications Software and Systems, 2021-06, Vol.17 (2), p.197-202

2021

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An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images

Expert systems with applications, 2023-12, Vol.234, p.121081, Article 121081

2023

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Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network

Neurocomputing (Amsterdam), 2021-05, Vol.438, p.72-83

2021

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An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms

Computers in biology and medicine, 2021-09, Vol.136, p.104744-104744, Article 104744

2021

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Lung nodule classification using artificial crawlers, directional texture and support vector machine

Expert systems with applications, 2017-03, Vol.69, p.176-188

2017

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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM

Medical & biological engineering & computing, 2017-08, Vol.55 (8), p.1129-1146

2017

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Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

Engineering applications of artificial intelligence, 2014-11, Vol.36, p.27-39

2014

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Deep learning-based tumor segmentation and classification in breast MRI with 3TP method

Biomedical signal processing and control, 2024-07, Vol.93, p.106199, Article 106199

2024

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KochDet: BiFPN-based deep architecture for tuberculosis diagnosis

Biomedical signal processing and control, 2024-05, Vol.91, p.106056, Article 106056

2024

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Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

Computers in biology and medicine, 2015-02, Vol.57, p.42-53

2015

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Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

Medical & biological engineering & computing, 2018-11, Vol.56 (11), p.2125-2136

2018

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Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM

Journal of signal processing systems, 2017-05, Vol.87 (2), p.179-196

2017

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Texture analysis of lung nodules in computerized tomography images using functional diversity

Computers & electrical engineering, 2020-06, Vol.84, p.106618-11, Article 106618

2020

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Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity

Computers & electrical engineering, 2018-04, Vol.67, p.210-222

2018

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Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, p.2836-2841

2020

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Taxonomic indexes for differentiating malignancy of lung nodules on CT images

Research on biomedical engineering, 2016-07, Vol.32 (3), p.263-272

2016

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Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

Pattern recognition, 2018-09, Vol.81, p.200-212

2018

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COVID-index: A texture-based approach to classifying lung lesions based on CT images

Pattern recognition, 2021-11, Vol.119, p.108083-108083, Article 108083

2021

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Generative adversarial network and texture features applied to automatic glaucoma detection

Applied soft computing, 2020-05, Vol.90, p.106165, Article 106165

2020

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Diagnosis of COVID-19 in CT image using CNN and XGBoost

2020 IEEE Symposium on Computers and Communications (ISCC), 2020, p.1-6

2020

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Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

Artificial intelligence in medicine, 2014-03, Vol.60 (3), p.165-177

2014

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Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

3D shape analysis to reduce false positives for lung nodule detection systems

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM

Automatic classification of breast lesions usingTransfer Learning

Optimized Method for Locating the Source of Voltage Sags

An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images

Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network

An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms

Lung nodule classification using artificial crawlers, directional texture and support vector machine

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM

Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

Deep learning-based tumor segmentation and classification in breast MRI with 3TP method

KochDet: BiFPN-based deep architecture for tuberculosis diagnosis

Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM

Texture analysis of lung nodules in computerized tomography images using functional diversity

Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity

Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System

Taxonomic indexes for differentiating malignancy of lung nodules on CT images

Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

COVID-index: A texture-based approach to classifying lung lesions based on CT images

Generative adversarial network and texture features applied to automatic glaucoma detection

Diagnosis of COVID-19 in CT image using CNN and XGBoost

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

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