Showing 2,381 - 2,400 results of 9,218 for search 'Datchet~', query time: 2.02s Refine Results
  1. 2381

    Automatic diagnosis of selected retinal diseases based on OCT B-scan by Tomasz Marciniak, Agnieszka Stankiewicz

    Published 2023-04-01
    “…This study aims to present the possibility of using artificial intelligence techniques to classify diseases of the posterior segment of the eye, which are visible on type B OCT cross-sections. The datasets of retinal images available on the Internet are discussed, with particular emphasis on datasets useful for learning artificial neural networks, allowing for the automatic classification process. …”
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  2. 2382

    Alzheimer's disease image classification based on enhanced residual attention network. by Xiaoli Li, Bairui Gong, Xinfang Chen, Hui Li, Guoming Yuan

    Published 2025-01-01
    “…The experimental results indicate that the Enhanced Residual Attention Network has achieved excellent performance on the Alzheimer's disease test dataset, providing strong support for the early diagnosis and treatment of Alzheimer's disease.…”
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    The “ $$B\rightarrow K\pi $$ B → K π puzzle”: a new perspective by Adam Szabelski

    Published 2024-12-01
    “…Abstract A phenomenological analysis based on the published branching fractions and CP asymmetry observables of the $$B\rightarrow K\pi $$ B → K π , $$B\rightarrow \pi \pi $$ B → π π and $$B\rightarrow KK$$ B → K K dataset is performed. The amplitude decomposition by the topological diagrams and the SU(3) irreducible representation is used. …”
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  11. 2391

    Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS) by Luciana Quaranta

    Published 2018-05-01
    “…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
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  12. 2392

    Early Results From the ‘Diggers to Veterans’ Longitudinal Study of Australian Men who Served in the First World War. Short- and Long-Term Mortality of Early Enlisters by Janet McCalman, Rebecca Kippen, Joan McMeeken, John Hopper, Michael Reade

    Published 2019-12-01
    “…This paper reports on the first iteration of a cradle-to-grave dataset of men who enlisted and served overseas in the First World War from the state of Victoria, Australia. …”
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    Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder by Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi

    Published 2024-12-01
    “…This research investigates the development of model deep convolutional autoencoders to enhance the classification of digital batik images. The dataset used was sourced from Kaggle. The autoencoder was employed to enrich the image data prior to convolutional processing. …”
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  17. 2397
  18. 2398

    Using Activity Recognition for Building Planning Action Models by Javier Ortiz, Angel García-Olaya, Daniel Borrajo

    Published 2013-06-01
    “…To test our approach, a new dataset from a kitchen domain has been generated. …”
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  19. 2399

    Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

    Published 2025-02-01
    “…Despite advances in acquisition technologies and segmentation architectures, one of the main challenges of subacute stroke lesion segmentation in computed tomography (CT) imaging is image contrast.MethodsTo address this issue, we propose a method to assess the contrast quality of an image dataset with a ML trained model for segmentation. …”
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  20. 2400

    Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis by Tan Y, Qian B, Ma Q, Xiang K, Wang S

    Published 2025-02-01
    “…This study aims to identify key genes associated with immune response and inflammation in IPF using bioinformatics.Methods: We identified differentially expressed genes (DEGs) in the GSE93606 dataset and GSE28042 dataset, then obtained differentially expressed immune- and inflammation-related genes (DE-IFRGs) by overlapping DEGs. …”
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