Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features

PURPOSE: To determine whether deep features extracted from digital mammograms using a pre-trained deep convolutional neural network (CNN) are prognostic of occult invasive disease for patients with ductal carcinoma in situ (DCIS) on core needle biopsy. MATERIALS AND METHODS: In this retrospective st...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:J Am Coll Radiol
Huvudupphovsmän: Shi, Bibo, Grimm, Lars J., Mazurowski, Maciej A., Baker, Jay A., Marks, Jeffrey R., King, Lorraine M., Maley, Carlo C., Hwang, E. Shelley, Lo, Joseph Y.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
Ämnen:
Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5837927/
https://ncbi.nlm.nih.gov/pubmed/29398498
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jacr.2017.11.036
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk