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


Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems.

Mendel KR, Li H, Lan L, Cahill CM, Rael V, Abe H, Giger ML.


Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.

Sapate SG, Mahajan A, Talbar SN, Sable N, Desai S, Thakur M.


Added Value of Radiomics on Mammography for Breast Cancer Diagnosis: A Feasibility Study.

Mao N, Yin P, Wang Q, Liu M, Dong J, Zhang X, Xie H, Hong N.


Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment.

Kontos D, Winham SJ, Oustimov A, Pantalone L, Hsieh MK, Gastounioti A, Whaley DH, Hruska CB, Kerlikowske K, Brandt K, Conant EF, Vachon CM.


Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment.

Pinker K, Chin J, Melsaether AN, Morris EA, Moy L.

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