Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images

The need for time and attention, given by the doctor to the patient, due to the increased volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes has encouraged the development of the option to support, constructively and effectively, deep learning models. Deep...

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Detalles Bibliográficos
Autores principales: Ursuleanu, Tudor Florin, Luca, Andreea Roxana, Gheorghe, Liliana, Grigorovici, Roxana, Iancu, Stefan, Hlusneac, Maria, Preda, Cristina, Grigorovici, Alexandru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393354/
https://www.ncbi.nlm.nih.gov/pubmed/34441307
http://dx.doi.org/10.3390/diagnostics11081373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393354/
https://www.ncbi.nlm.nih.gov/pubmed/34441307
http://dx.doi.org/10.3390/diagnostics11081373

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