Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning

We evaluated whether using synthetic mammograms for training data augmentation may reduce the effects of overfitting and increase the performance of a deep learning algorithm for breast mass detection. Synthetic mammograms were generated using in silico procedural analytic breast and breast mass mod...

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Vydáno v:J Med Imaging (Bellingham)
Hlavní autoři: Cha, Kenny H., Petrick, Nicholas, Pezeshk, Aria, Graff, Christian G., Sharma, Diksha, Badal, Andreu, Sahiner, Berkman
Médium: Artigo
Jazyk:Inglês
Vydáno: Society of Photo-Optical Instrumentation Engineers 2019
Témata:
Special Section on Evaluation Methodologies for Clinical AI
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6872953/
https://ncbi.nlm.nih.gov/pubmed/31763356
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.1.012703
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