To avoid unnecessary surgical removal of lymph nodes in thyroid cancer patients, we would like to predict from thyroid whole slide images whether the tumor is aggressive or not. As a preparation to this goal, we would also like to predict the presence and location of the tumor in thyroid whole slide images.
Summary
Given a whole slide image of a thyroid tissue, detect the tumor regions. For example, this is a visualization of a true positive detection from the validation dataset: 
Dataset
- Train/test at x5 magnification, rescaled from x40
- 487 train slides (80%)
- 123 validation slides (20%)
- 164 lymph node slides, visualization only
- 577,668 total tiles @ 224×224
- ~18 hours training on RTX 5000
Performance
Code
Work based on https://github.com/MSKCC-Computational-Pathology/MIL-nature-medicine-2019
Github (private): https://ipopgit.uky.edu/ibi-pathology/mskcc-mil-nature-medicine-2019
Model
Contact authors for model