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Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks
(2020-12-16)
Magnetic resonance imaging (MRI) is the most commonly used exam for diagnosis and follow-up of neurodegenerative diseases, such as multiple sclerosis (MS). MS is a neuroinflammatory and neurodegenerative disease characterized ...
Segmentação de vasos sanguíneos utilizando Redes Neurais Convolucionais: visualização e análise de correlação dos mapas de ativação
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2023-03-29)
Convolutional neural networks (CNN) are responsible for advancing the automation of tasks in the field of computer vision, with image classification, object recognition and image segmentation, as it is present in different ...
Customer segmentation model based on value generation for marketing strategies formulation
(Universidad IcesiFacultad de Ciencias Administrativas y Económicas, 2014-01-01)
When deciding in which segment to invest or how to distribute the marketing budget, managers generally take risks in making decisions without considering the real impact every client or segment has over organizational ...