Mostrando 10 resultados de: 11
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Other(11)
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Lecture Notes in Networks and Systems(8)
Communications in Computer and Information Science(2)
Proceedings 2023 49th Latin American Computing Conference Clei 2023(1)
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scopus(11)
Lung Cancer Detection Using Positron Emission Tomography Images Through Convolutional and Recurrent Neural Networks
OtherAbstract: Lung cancer ranks third in cancer detection, following breast and prostate cancer, but it causes morPalabras claves:convolutional neural networks, data science, Deep learning, image preprocessing, lung cancer, Positron Emission Tomography, Recurrent neural networks, Transfer learningAutores:Adolfo Jara-Gavilanes, Remigio Hurtado Ortiz, S. Guzmán OrtizFuentes:scopusAlzheimer Diagnosis Through Advanced Deep Learning Architectures and Interpretative Analysis of Predictions
OtherAbstract: Dementia, a critical global health challenge recognized by the World Health Organization (WHO), affePalabras claves:Alzheimer, Deep learning, DEMENCIA, image classification, Transfer learning, Vgg-16Autores:Anthony Moya, Jorge Lituma, Remigio Hurtado OrtizFuentes:scopusAn Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images
OtherAbstract: In the U.S. it is estimated that there are more than 20,000 cases of head and neck cancers per year.Palabras claves:data science, Deep learning, Disease Modeling and Analysis, Medical Imaging, molecular imaging, optimizationAutores:Arantxa Muñoz, Remigio Hurtado Ortiz, Stefanía GuzmánFuentes:scopusAn Architecture for MRI Processing, Segmentation and Model Explanation Using Deep Learning and Transfer Learning to Support Brain Cancer Diagnosis in Preoperative Patients
OtherAbstract: Brain cancer diagnosis, particularly in preoperative stages, presents a complex challenge due to thePalabras claves:Brain cancer diagnosis, Deep learning, Model explanation, MRI SEGMENTATION, Preoperative patients, U-Net 3D architectureAutores:Carlos Saico, Gabriel A. León-Paredes, Leonardo Crespo, Pablo Peña, Remigio Hurtado OrtizFuentes:scopusAn Intelligent Mobile Navigation System for Visually Impaired People Using Computer Vision and Deep Learning for Multi-label Classification in Park Environments
OtherAbstract: Individuals with visual impairments encounter considerable difficulties when navigating outdoor enviPalabras claves:ASSISTIVE TECHNOLOGY, Computer Vision, Deep learning, Multi-label classification, Transfer learning, Visually Impaired NavigationAutores:Christian Delgado, Remigio Hurtado OrtizFuentes:scopusDevelopment of a Method for the Early Detection of Alzheimer Using CT Images, Deep Learning Techniques and Hyper-parameter Tuning
OtherAbstract: The world health organization (WHO) has published an article that raises public awareness about demePalabras claves:Alzheimer, Classifier, Convolutional neural network, CT images, Deep learning, Hyperparameter tuning, optimizationAutores:Denys Dutan-Sanchez, Paul Idrovo-Berrezueta, Remigio Hurtado OrtizFuentes:scopusHidden Layer Visualization for Convolutional Neural Networks: A Brief Review
OtherAbstract: Tasks in the field of computer vision are mostly led by convolutional neural networks (CNNs) (AamirPalabras claves:Artificial intelligence, Cancer, convolutional neural networks, Deep learning, Hidden layer visualization, Medical ImagingAutores:E. Fabián Rivera, Remigio Hurtado OrtizFuentes:scopusSupporting the Diagnosis of Brain Cancer in Post-treatment Patients Using Ensemble Learning and Transfer Learning Techniques
OtherAbstract: Brain cancer is a serious condition characterized by the uncontrolled growth of abnormal cells, wherPalabras claves:Brain cancer, Deep learning, Postreatment, segmentation, U-Net V2-FTAutores:Janneth Matute, Remigio Hurtado OrtizFuentes:scopusEvaluation of Data Balancing Methods for the Classification of Digital Mammography Images with Benign and Malignant Breast Lesions Using Machine Learning
OtherAbstract: Breast cancer is highly prevalent and a leading cause of cancer-related death in women. Early detectPalabras claves:Classification metrics, data science, Deep learning, Imbalanced datasets, MammographyAutores:John Sanmartín, Paulina Azuero, Remigio Hurtado OrtizFuentes:scopusA Modern Approach to Osteosarcoma Tumor Identification Through Integration of FP-Growth, Transfer Learning and Stacking Model
OtherAbstract: The early detection of cancer through radiographs is crucial for identifying indicative signs of itsPalabras claves:data science, Deep learning, Ensemble models, Frequent Patterns, Osteosarcoma, Transfer learningAutores:John Sanmartín, Paulina Azuero, Remigio Hurtado OrtizFuentes:scopus