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Communications in Computer and Information Science(5)
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Proceedings - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022(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:googlescopusDevelopment of a System to Detect Stress Using Electrocardiographic Signals and Machine Learning Models
Conference ObjectAbstract: Due to the modern lifestyle, environment, and global events of the century, mental health has becomePalabras claves:classification, eCG, ML, StressAutores:Andrés Tirado-Espín, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Paola A. Vásquez-Ucho, Rafael Valencia-Ramos, Valeria Herrera SalazarFuentes:scopusDiabetic Retinopathy: Detection and Classification Using AlexNet, GoogleNet and ResNet50 Convolutional Neural Networks
Conference ObjectAbstract: Diabetic retinopathy (DR) is an ocular condition developed in diabetes patients. This eye disease isPalabras claves:accuracy, cnn, Diabetic Retinopathy, Metrics classificationAutores:Andrés Tirado-Espín, Cadena-Morejón C., Cristina Chuya-Sumba, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Graciela M. Salum, Jhonny Caicho, Nicole Jara, Omar Santiago Alvarado CandoFuentes: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:googlescopusNIFtHool: An informatics program for identification of NifH proteins using deep neural networks
ArticleAbstract: Atmospheric nitrogen fixation carried out by microorganisms has environmental and industrial importaPalabras claves:Deep Neural Network, Embedding Layers, K-mers, NifH protein, softwareAutores:Diego Almeida-Galárraga, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-Meneses, Graciela M. Salum, J. D. Suquilanda-Pesántez, Marco Esteban Gudiño GomezjuradoFuentes: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: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:googlescopus