Michael Liu1, Richard Ha1, Terry Button2, Yucheng Liu1, Yun-Hsu Hao3, and Sachin Jambawalikar1
1Radiology, Columbia University, New York, NY, United States, 2Stonybrook University, Stonybrook, NY, United States, 3Columbia University, New York, NY, United States
1Radiology, Columbia University, New York, NY, United States, 2Stonybrook University, Stonybrook, NY, United States, 3Columbia University, New York, NY, United States
Generalizability of Breast Dynamic Contrast Enhanced MRI based Oncotype DX score models benefit from multiscale sampling in multi-institutional data.
This chart illustrates the flow of data into the network.
1) The first three phases of each DCE Exam are gathered and stacked in the 4th dimension.
2) Slices containing the biopsy site are then isolated and annotated.
3) Before introduction to the model, the data is exposed to different scales of patch sampling, Hue shifts, and standard affine transforms.
4) The network is trained using 5 fold cross validation with leave one out testing
Performance Statistics for various sampling techniques