Developing intelligent medical image modality classification system using deep transfer learning and LDA

Rapid advancement in imaging technology generates an enormous amount of heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists may require related clinical cases from medical archives for analysis and disease diagnosis. It is challenging to retrieve the associated...

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Detalles Bibliográficos
Autores principales: Hassan, Mehdi, Ali, Safdar, Alquhayz, Hani, Safdar, Khushbakht
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393510/
https://www.ncbi.nlm.nih.gov/pubmed/32732962
http://dx.doi.org/10.1038/s41598-020-69813-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393510/
https://www.ncbi.nlm.nih.gov/pubmed/32732962
http://dx.doi.org/10.1038/s41598-020-69813-2

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