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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...
Autores principales: | Ursuleanu, Tudor Florin, Luca, Andreea Roxana, Gheorghe, Liliana, Grigorovici, Roxana, Iancu, Stefan, Hlusneac, Maria, Preda, Cristina, Grigorovici, Alexandru |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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