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Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)

License: Other

MATLAB 35.65% Python 64.35%
deep-learning deep-neural-networks multi-task-learning keras tensorflow keras-tensorflow ultrasound ultrasound-imaging medical-imaging medical-image-processing classification

thyroid-us's Introduction

thyroid-us

Code repository for Evaluation of Thyroid Nodules Seen on Ultrasound: Comparison of Deep Learning to Radiologists Using ACR TI-RADS.

Developed by mateuszbuda.

It contains implementation of a multi-task CNN model using Keras framework with TensorFlow backend.

Multi-task CNN

If you use this code in your research, consider citing:

@article{buda2019evaluation,
  title={Evaluation of Thyroid Nodules Seen on Ultrasound: Comparison of Deep Learning to Radiologists Using ACR TI-RADS},
  author={Buda, Mateusz and Wildman-Tobriner, Benjamin and Hoang, Jenny K and Thayer, David and Tessler, Franklin N and Middleton, William D and Mazurowski, Maciej A},
  journal={Radiology},
  year={2019},
  publisher={Radiological Society of North America}
}

ROC curves comparing our method to radiologists for evaluating malignancy on the test set of 99 cases:

Test ROC

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thyroid-us's Issues

dataset

First of all, thank you for your code and ask where your data set can be found.

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