Brought to you by
ECR 2019 / C-1351
Radiomic's data correlated with breast carcinoma in mammograms: a retrospective review
Congress: ECR 2019
Poster No.: C-1351
Type: Scientific Exhibit
Keywords: Breast, Computer applications, Artificial Intelligence, Mammography, RIS, Image manipulation / Reconstruction, Screening, Statistics, Biopsy, Cancer, Image verification, Pathology
Authors: F. Leone1, A. Presazzi2, M. Cellina1, M. A. Orsi1, G. Oliva1; 1Milan/IT, 2PAVIA, IT/IT


We obtained a final cohort of 84 images (CC and MLO mammograms) and a total of 43 cases of breast cancer, with different histopathology results (in one case the same mammogram showed two different breast cancers). We found differences of Radiomic's data between the two groups were statistically significant (p<0.05) for Compactness 1 (p= 0.044), Major Axis (p= 0.043) and Zone Percentage (p= 0.042).

POSTER ACTIONS Add bookmark Contact presenter Send to a friend Download pdf
2 clicks for more privacy: On the first click the button will be activated and you can then share the poster with a second click.

This website uses cookies. Learn more