A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification

The quality and acceptance of machine learning (ML) approaches in cardiovascular data interpretation depends strongly on model design and training and the interaction with the clinical experts. We hypothesize that a software infrastructure for the training and application of ML models can support th...

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Detalles Bibliográficos
Autores principales: Huellebrand, Markus, Ivantsits, Matthias, Tautz, Lennart, Kelle, Sebastian, Hennemuth, Anja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960112/
https://www.ncbi.nlm.nih.gov/pubmed/35360025
http://dx.doi.org/10.3389/fcvm.2022.829512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960112/
https://www.ncbi.nlm.nih.gov/pubmed/35360025
http://dx.doi.org/10.3389/fcvm.2022.829512

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