Search Results - "de Carvalho Filho, Antonio Oseas"
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1
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma
Published in Expert systems with applications (15-11-2018)“…•We propose an automatic method for the detection and diagnosis of glaucoma.•Convolutional Neural Network is used for Optical Disc segmentation.•Texture…”
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2
3D shape analysis to reduce false positives for lung nodule detection systems
Published in Medical & biological engineering & computing (01-08-2017)“…Using images from the Image Database Consortium and Image Database Resource Initiative (LIDC–IDRI), we developed a methodology for classifying lung nodules…”
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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM
Published in Journal of digital imaging (01-12-2017)“…Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for…”
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4
Automatic classification of breast lesions usingTransfer Learning
Published in Revista IEEE América Latina (01-12-2019)“…Breast lesions are one of the most common types of lesions among women in Brazil and worldwide, accounting forabout 28% of new cases each year. These lesions…”
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5
Optimized Method for Locating the Source of Voltage Sags
Published in Journal of Communications Software and Systems (01-06-2021)“…Short-Duration Voltage Variations (SDVVs) are the power quality disturbances (PQD) that mainly affect industrial systems, and are originated for various…”
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An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images
Published in Expert systems with applications (30-12-2023)“…For patients diagnosed with breast cancer who are undergoing neoadjuvant chemotherapy, predicting the response of the tumor to treatment is critical, as it…”
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Lung nodule classification using artificial crawlers, directional texture and support vector machine
Published in Expert systems with applications (01-03-2017)“…•We develop a methodology to classify lung nodule and non-nodules.•833 lung scans were extracted from LIDC-IRDI database.•Three methods used was artificial…”
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8
Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network
Published in Neurocomputing (Amsterdam) (28-05-2021)“…Glaucoma is as an abnormality of the optic system that alters the patient’s vision, causing damage to the nervous system and potentially increasing intraocular…”
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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM
Published in Medical & biological engineering & computing (01-08-2017)“…Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules…”
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10
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM
Published in Engineering applications of artificial intelligence (01-11-2014)“…Lung cancer stands out among all other types of cancer for presenting one of the highest incidence rates and one of the highest rates of mortality…”
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Deep learning-based tumor segmentation and classification in breast MRI with 3TP method
Published in Biomedical signal processing and control (01-07-2024)“…Timely diagnosis of early breast cancer plays a critical role in improving patient outcome and increasing treatment effectiveness. Dynamic contrast-enhancing…”
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An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
Published in Computers in biology and medicine (01-09-2021)“…COVID-19 is a respiratory disease that, as of July 15th, 2021, has infected more than 187 million people worldwide and is responsible for more than 4 million…”
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13
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis
Published in Biomedical signal processing and control (01-05-2024)“…Tuberculosis is a bacterial infection caused by Koch’s bacillus, and its transmission occurs through the air. The disease mainly affects the lungs and is…”
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14
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM
Published in Computers in biology and medicine (01-02-2015)“…Abstract Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist…”
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15
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance
Published in Medical & biological engineering & computing (01-11-2018)“…Lung cancer presents the highest cause of death among patients around the world, in addition of being one of the smallest survival rates after diagnosis…”
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16
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM
Published in Journal of signal processing systems (01-05-2017)“…The present work aims to develop a methodology for classifying lung nodules using the LIDC-IDRI image database. The proposed methodology is based on…”
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17
Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity
Published in Computers & electrical engineering (01-04-2018)“…Breast cancer is a disease resulting from the multiplication of abnormal breast cells, which form masses. Every year, breast cancer kills more than 500,000…”
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Texture analysis of lung nodules in computerized tomography images using functional diversity
Published in Computers & electrical engineering (01-06-2020)“…•An automatic method for reduction of false positives in pulmonary nodule CT images.•A new method for characterization of texture.•Proposal of a unique texture…”
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19
Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System
Published in 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (11-10-2020)“…The increased demand for electricity has caused several problems for traditional electrical power systems, such as voltage fluctuations and interruptions in…”
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Conference Proceeding -
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Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network
Published in Pattern recognition (01-09-2018)“…Lung cancer has been recognized as the primary global cause of death among cancer patients. This work is intended to develop a methodology for diagnosis of…”
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