tensorpack-medical

Extension to tensorpack for medical imaging applications.

Examples

Here are some selected examples of medical imaging with deep learning research. In these examples we try to replicate the results from recent published work, so that it can be used for actual research comparisons.

• Reinforcement Learning:
  • Landmark detection using different DQN variants
  • Automatic view planning using different DQN variants
• Supervised Learning:
  • Image segmentation [todo]
  • Saliency maps [todo]

Installation

Dependencies

tensorpack-medical requires:

• Python >= 3.5
• TensorFlow >= 1.6.0
• Tensorpack >= 0.8.0
• Python OpenCV
• pyglet

User installation

pip install -U git+https://github.com/amiralansary/tensorpack-medical.git

Development

New contributors of any experience level are very welcomed. Reproducing more examples from recent published works is very helpful for the reproducibility of new research.

Source code

You can clone the latest version of the source code with the command::

git clone https://github.com/amiralansary/tensorpack-medical.git