Overview of the proposal methodology for the multi-classification of healthy individuals and individuals in the acute or chronic phase of <i>T. cruzi</i> infection using a deep generative architecture (W–VAE).

Overview of the proposal methodology for the multi-classification of healthy individuals and individuals in the acute or chronic phase of <i>T. cruzi</i> infection using a deep generative architecture (W–VAE).

<p>Overview of the proposal methodology for the multi-classification of healthy individuals and individuals in the acute or chronic phase of <i>T. cruzi</i> infection using a deep generative architecture (W–VAE).</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Blanca Vazquez (2525026) (author)
مؤلفون آخرون:	Nidiyare Hevia-Montiel (582955) (author), Jorge Perez-Gonzalez (20928228) (author), Paulina Haro (20928231) (author)
منشور في:	2025
الموضوعات:	Medicine Microbiology Immunology Biological Sciences not elsewhere classified Information Systems not elsewhere classified weighted – vae weighted variational auto w – vae gaussian process classifier final test using elisa antibody titers div >< p cd clinically manifests assessed several classifiers 92 ± 4 cd ), caused best obtained accuracy >- infected individuals augmenting multimodal data deep learning approach identify healthy individuals classify healthy individuals chronic ), accuracy achieved limited data generating data generated data data generated weighting factor trypanosoma cruzi selection methods protozoan parasite murine model masking mechanism long period electrocardiography signals echocardiography images doppler spectrum cruzi </ cruzi )</ complications due classification tasks classification task chronic phase chagas disease causes 12 american continent >, represents 50 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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