Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification

Purpose: Convolutional neural network (CNN) methods have been proposed to quantify lesions in medical imaging. Commonly, more than one imaging examination is available for a patient, but the serial information in these images often remains unused. CNN-based methods have the potential to extract valu...

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Detalles Bibliográficos
Autores principales: Jansen, Mariëlle J. A., Kuijf, Hugo J., Dhara, Ashis K., Weaver, Nick A., Jan Biessels, Geert, Strand, Robin, Pluim, Josien P. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Image Processing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744252/
https://www.ncbi.nlm.nih.gov/pubmed/33344673
http://dx.doi.org/10.1117/1.JMI.7.6.064003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744252/
https://www.ncbi.nlm.nih.gov/pubmed/33344673
http://dx.doi.org/10.1117/1.JMI.7.6.064003

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