Abstract GS5-04: Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features

2018 ◽  
Author(s):  
JY Lo ◽  
LJ Grimm ◽  
MA Mazurowski ◽  
JA Baker ◽  
JR Marks ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Invasive Disease ◽  
Deep Learning Features

scholarly journals Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features

2018 ◽  
Vol 15 (3) ◽  
pp. 527-534 ◽  
Author(s):  
Bibo Shi ◽  
Lars J. Grimm ◽  
Maciej A. Mazurowski ◽  
Jay A. Baker ◽  
Jeffrey R. Marks ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Invasive Disease ◽  
Deep Learning Features

scholarly journals Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ

2019 ◽  
Vol 115 ◽  
pp. 103498 ◽  
Author(s):  
Zhe Zhu ◽  
Michael Harowicz ◽  
Jun Zhang ◽  
Ashirbani Saha ◽  
Lars J. Grimm ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Invasive Disease ◽  
Learning Analysis

Genomic Differences Between Pure Ductal Carcinoma In Situ of the Breast and that Associated with Invasive Disease: a Calibrated aCGH Study

2008 ◽  
Vol 14 (14) ◽  
pp. 4446-4454 ◽  
Author(s):  
Vladimir V. Iakovlev ◽  
Nona C.R. Arneson ◽  
Vietty Wong ◽  
Chunjie Wang ◽  
Stephanie Leung ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Invasive Disease
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