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Communications in Computer and Information Science(5)
Advances in Intelligent Systems and Computing(1)
Computation(1)
Journal of Medical Engineering and Technology(1)
Proceedings - 2021 2nd International Conference on Information Systems and Software Technologies, ICI2ST 2021(1)
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Medicina y salud(5)
Ciencias de la computación(3)
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Ciencia militar(1)
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Comparison Between Two Novel Approaches in Automatic Breast Cancer Detection and Diagnosis and Its Contribution in Military Defense
Conference ObjectAbstract: Breast cancer is a serious global health problem to which we are all prone, taking into account thePalabras claves:Breast Cancer, convolutional neural networks, deep learning, Mammography, military applicationsAutores:Andrés Tirado-Espín, Diego Almeida-Galárraga, Diego Suntaxi-Dominguez, Fernando Villalba-Meneses, Jackeline Pereira-Carrillo, Oscar V. GuarnizoFuentes:googlescopusBrain Tumor Segmentation Based on 2D U-Net Using MRI Multi-modalities Brain Images
Conference ObjectAbstract: Glioblastoma is the most common malignant primary brain tumor, making up approximately 80% of all maPalabras claves:Brain tumor segmentation, BraTS dataset, glioma, Multimodal MRI, U-netAutores:Andrés Tirado-Espín, Cadena-Morejón C., Daniela Tene-Hurtado, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Omar Santiago Alvarado Cando, Orozco-López O., Salazar V.H.Fuentes:googlescopusConvolutional Neural Network for Imagine Movement Classification for Neurorehabilitation of Upper Extremities Using Low-Frequency EEG Signals for Spinal Cord Injury
Conference ObjectAbstract: As a result of the improvement of digital signal processing techniques and pattern recognition, it hPalabras claves:Convolutional neural network, Electroencephalogram, Neurorehabilitation, Spinal cordAutores:Alejandro S. Delgado, Andrés Tirado-Espín, Cadena-Morejón C., Carolina Cadena Morejón, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Giovana F. Vaca, Graciela M. Salum, Lady L. González, Mario G. GualsaquíFuentes:googlescopusCOVID-19 Pulmonary Lesion Classification Using CNN Software in Chest X-ray with Quadrant Scoring Severity Parameters
Conference ObjectAbstract: The Sars-Cov2 virus has caused the worst health emergency of the last decade. Furthermore, new straiPalabras claves:Chest X-ray, cnn, covid-19, Lung lesion, Machine learning, U-netAutores:Alejandro B. Lojan, Andrés Tirado-Espín, Daniel A. Amaguaña, Denisse N. Niles, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Graciela M. Salum, Noboa-Jaramillo A., Omar Santiago Alvarado CandoFuentes:googlescopusDesign of a Glove Controlled by Electromyographic Signals for the Rehabilitation of Patients with Rheumatoid Arthritis
Conference ObjectAbstract: Among the various systemic disorders that hands can suffer, rheumatoid arthritis is one of the mostPalabras claves:3D glove, Action potential, Electromyogram, Muscle sensor, Rehabilitation, Rheumatoid ArthritisAutores:A. S. Alcivar Carmigniani, B. P. Aldaz Luna, D. F. Clavijo Calderón, Diego Almeida-Galárraga, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-Meneses, Madrid Pérez M.A., Paola P. Echeverría-OrtízFuentes:googlescopusGlaucoma detection through digital processing from fundus images using MATLAB
Conference ObjectAbstract: A considerable proportion of the global population has lost vision due to the late diagnosis of glauPalabras claves:angle closure glaucoma, Cdr, fundus images, glaucoma, Open angle glaucoma, Smoothing filterAutores:Andrés Tirado-Espín, Daniela Tene-Hurtado, Diego Almeida-Galárraga, Erick Insuasti-Cruz, Fernando Villalba-Meneses, Karina Benavides-Montenegro, Nicole Lovato, Victoria Suárez-JaramilloFuentes:googlescopusIntelligent Electromyograph for Early Detection of Myopathy and Neuropathy Using EMG Signals and Neural Network Model
Conference ObjectAbstract: The present work proposes developing an electromyograph to give a reliable diagnosis for detecting nPalabras claves:Electromyography, Medical conditions, Neural networks, pathology, smart deviceAutores:Andrea Valenzuela-Guerra, Andrés Tirado-Espín, Bryan Cerón-Andrade, Daniela Negrete-Bolagay, Diego Almeida-Galárraga, Diego Suntaxi-Dominguez, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-Meneses, Xiomira Fiallos-AyalaFuentes:googlescopusWearable sensors in the diagnosis and study of Parkinson’s disease symptoms: a systematic review
ReviewAbstract: Nowadays, there are several diseases which affect different systems of the body, producing changes iPalabras claves:inertial sensors, motion capture, Parkinson’s Disease, wearable sensorsAutores:Andrea C. Albán-Cadena, Carlos P. Villalba-Meneses, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Kevin O. Pila-Varela, Moreno-Calvo A.Fuentes:googlescopusRapid Detection of Cardiac Pathologies by Neural Networks Using ECG Signals (1D) and sECG Images (3D)
ArticleAbstract: Usually, cardiac pathologies are detected using one-dimensional electrocardiogram signals or two-dimPalabras claves:LSTM, matlab, Neural networks, PYTHON, ResNet34, sECG imagesAutores:Andrés Tirado-Espín, Daniel Amaguaña-Marmol, Diego Almeida-Galárraga, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-MenesesFuentes:googlescopusPbkp_rediction of Parkinson’s Disease Severity Based on Gait Signals Using a Neural Network and the Fast Fourier Transform
Conference ObjectAbstract: Parkinson’s disease (PD) is a chronic and progressive movement disorder affecting the nervous systemPalabras claves:Artificial Neural Network, Fast fourier transform, Gait Analysis, Multiclassifier system, Parkinson’s DiseaseAutores:Diego Almeida-Galárraga, Dionis E. López-Ramos, Fernando Villalba-Meneses, J. D. Suquilanda-Pesántez, M. C. Muñoz, M. C. Zambonino-Soria, M. G. Pineda-Molina, Nataly S. MilánFuentes:googlescopus