GitHub - qiaotian/DeepEye: Practices for kaggle competitions.

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Practices for kaggle competitions.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Titanic		Titanic
data		data
scikit-learn		scikit-learn
.model.py.swp		.model.py.swp
cloud_viewer.py		cloud_viewer.py
dicom_reader.py		dicom_reader.py
model.py		model.py
readme		readme
test.py		test.py

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Reference:
1. Show Dicom using VTK or PyDicom
https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/
2. Convert Numpy to VTK
https://pyscience.wordpress.com/2014/09/06/numpy-to-vtk-converting-your-numpy-arrays-to-vtk-arrays-and-files/
3. Introduction to Python and VTK, Scientific Visuliazation, HT2014 Lecture. Johan Nysjo from Swedish
University of Agricultural Sciences Uppsala University
4. Python VTK script to Display 3D xyz data
https://sukhbinder.wordpress.com/2013/09/17/python-vtk-script-to-display-3d-xyz-data/



Dicom Data Download Link (from Reference 1):
https://bitbucket.org/somada141/pyscience/raw/master/20140906_PythonDicom/Material/MyHead.zip