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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Dettagli Bibliografici
Pubblicato in:J Med Imaging (Bellingham)
Autori principali: Jansen, Mariëlle J. A., Kuijf, Hugo J., Dhara, Ashis K., Weaver, Nick A., Jan Biessels, Geert, Strand, Robin, Pluim, Josien P. W.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Society of Photo-Optical Instrumentation Engineers 2020
Soggetti:
Image Processing
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7744252/
https://ncbi.nlm.nih.gov/pubmed/33344673
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.6.064003
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