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Progress in Biomedical Optics and Imaging - Proceedings of SPIE(3)
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C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for Medical Image Segmentation
Conference ObjectAbstract: Deep learning models have obtained state-of-the-art results for medical image analysis. However, CNNPalabras claves:Domain Adaptation, Generative Adversarial Networks, image segmentation, Medical image analysis, unsupervised learningAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusAnalyzing the Effect of Basic Data Augmentation for COVID-19 Detection through a Fractional Factorial Experimental Design
ArticleAbstract: The COVID-19 pandemic has created a worldwide healthcare crisis. Convolutional Neural Networks (CNNsPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Juan Jose Murillo, Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusAdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation
ArticleAbstract: Fully Convolutional Networks (FCNs) have emerged as powerful segmentation models but are usually desPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusAdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation
ArticleAbstract: Adapting an existing convolutional neural network architecture to a specific dataset for medical imaPalabras claves:convolutional neural networks, deep learning, Evolutionary algorithms, Hyperparameter optimization, Medical image segmentation, Multiobjective optimizationAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS: Efficient multiobjective neural architecture search framework for 3D medical image segmentation
Conference ObjectAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusMeasuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study
Conference ObjectAbstract: Convolutional neural networks (CNNs) have become dominant in various computer vision tasks, obtaininPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Jose Murillo J., Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusU-Net Variations for Spontaneous Intracranial Hemorrhages Detection on CT Images
Conference ObjectAbstract: Brain injuries represent one of the most severe medical problems that affect people health worldwidePalabras claves:Computerized tomography scan, Convolutional neural network, deep learning, ICH, image segmentation, U-netAutores:Daniel Riofrio, Diego S. Benitez, Luis A. Erazo, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores MoyanoFuentes:googlescopusSelf-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation
Conference ObjectAbstract: Segmentation is a critical step in medical image analysis. Fully Convolutional Networks (FCNs) havePalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusStac-Da: Structure Aware Cross-Modality Domain Adaptation Framework with Image and Feature Level Adaptation for Medical Image Segmentation
OtherAbstract: In this work, we present an unsupervised Structure Aware Cross-modality Domain Adaptation (StAC-DA)Palabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleTeacher-Student Semi-supervised Approach for Medical Image Segmentation
Conference ObjectAbstract: Accurate segmentation of anatomical structures is a critical step for medical image analysis. Deep lPalabras claves:image segmentation, Medical image analysis, semi-supervised learningAutores:Maria G. Baldeon CalistoFuentes:googlescopus