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

Model

Contact authors for model

 

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Lorem ipsum dolor sit amet, at mei dolore tritani repudiandae. In his nemore temporibus consequuntur, vim ad prima vivendum consetetur.

To avoid unnecessary surgical removal of lymph nodes in thyroid cancer patients, […]
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Lorem ipsum dolor sit amet, at mei dolore tritani repudiandae. In his nemore temporibus consequuntur, vim ad prima vivendum consetetur.

To avoid unnecessary surgical removal of lymph nodes […]
Hepatitis A Predictor We are working on hepatitis […]
COVID-19 Cell Detector Here are our results in […]
Soft Tissue B/M We are attempting to classify […]

Latest news

Lorem ipsum dolor sit amet, at mei dolore tritani repudiandae. In his nemore temporibus consequuntur, vim ad prima vivendum consetetur.

To avoid unnecessary surgical removal of lymph nodes […]
Hepatitis A Predictor We are working on hepatitis […]
COVID-19 Cell Detector Here are our results in […]
Soft Tissue B/M We are attempting to classify […]

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