Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

Deep learning requires a large amount of data to perform well. However, the field of medical image analysis suffers from a lack of sufficient data for training deep learning models. Moreover, medical images require manual labeling, usually provided by human annotators coming from various backgrounds...

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Detalles Bibliográficos
Autores principales: Alzubaidi, Laith, Al-Amidie, Muthana, Al-Asadi, Ahmed, Humaidi, Amjad J., Al-Shamma, Omran, Fadhel, Mohammed A., Zhang, Jinglan, Santamaría, J., Duan, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036379/
https://www.ncbi.nlm.nih.gov/pubmed/33808207
http://dx.doi.org/10.3390/cancers13071590

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036379/
https://www.ncbi.nlm.nih.gov/pubmed/33808207
http://dx.doi.org/10.3390/cancers13071590

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