Multimodal learning for clinical dec...
ML-CDS (Workshop) (2021 :)

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  • Multimodal learning for clinical decision support = 11th International Workshop, ML-CDS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Multimodal learning for clinical decision support/ edited by Tanveer Syeda-Mahmood ... [et al.].
    Reminder of title: 11th International Workshop, ML-CDS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
    remainder title: ML-CDS 2021
    other author: Syeda-Mahmood, Tanveer.
    corporate name: ML-CDS (Workshop)
    Published: Cham :Springer International Publishing : : 2021.,
    Description: viii, 117 p. :ill., digital ;24 cm.
    [NT 15003449]: From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data -- Multi-Scale Hybrid Transformer Networks: Application to Prostate Disease Classification -- Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support -- A Federated Multigraph Integration Approach for Connectional Brain Template Learning -- SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis -- Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT -- Feature Selection for Privileged Modalities in Disease Classification -- Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images -- Structure and Feature based Graph U-Net for Early Alzheimer's Disease Prediction -- A Method for Predicting Alzheimer's Disease based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction.
    Contained By: Springer Nature eBook
    Subject: Diagnostic imaging - Congresses. - Data processing -
    Online resource: https://doi.org/10.1007/978-3-030-89847-2
    ISBN: 9783030898472
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W9410072 電子資源 11.線上閱覽_V 電子書 EB RC78.7.D53 M5 2021 一般使用(Normal) On shelf 0
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