Start With exploring dataset

[Ank-22]

No description provided.

[Ank-22]

@ranjeetds I have started downloading the data set the total size is 22.3GB, Download size 13.3 GB. As soon as it is downloaded the I will temper around it and understand the data, As it is images we will go for CNN or DCNN

[Ank-22]

Make A notebook and do virtualization of the dataset

[Ank-22]

Images file type is .dcm @ranjeetds

[ranjeetds]

https://stackoverflow.com/questions/53707851/using-dicom-images-with-opencv-in-python

[Ank-22]

I am Following this one: https://pydicom.github.io/pydicom/stable/auto_examples/input_output/plot_read_dicom.html

[Ank-22]

https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/165723 @ranjeetds Look into this

[Ank-22]

https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/discussion/165723 @ranjeetds Look into this

A Bit Helpful for some of the image data

[ranjeetds]

looks like we need to download data again - v2

[Ank-22]

NO sir, we need to perform an image augmentation, He has provided the code of
pydicom.SliceThickness
https://www.kaggle.com/wcukierski/testing-reading-of-id00011637202177653955184