Development of an online, publicly accessible naive Bayesian decision support tool for mammographic mass lesions based on the American College of Radiology (ACR) BI-RADS lexicon

PURPOSE: To develop and validate a decision support tool for mammographic mass lesions based on a standardized descriptor terminology (BI-RADS lexicon) to reduce variability of practice. MATERIALS AND METHODS: We used separate training data (1276 lesions, 138 malignant) and validation data (1177 les...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Eur Radiol
Asıl Yazarlar: Benndorf, Matthias, Kotter, Elmar, Langer, Mathias, Herda, Christoph, Wu, Yirong, Burnside, Elizabeth S.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2015
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4420692/
https://ncbi.nlm.nih.gov/pubmed/25576230
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-014-3570-6
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller