search

Ank-22 / OSIC-Pulmonary-Fibrosis-Progression

This is Our approch for the kaggle Competition for OSIC Pulmonary Fibrosis Progression
GNU General Public License v3.0
3 stars 1 forks source link

Start With exploring dataset #1

Open Ank-22 opened 4 years ago

Ank-22 commented 4 years ago

@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 commented 4 years ago

Make A notebook and do virtualization of the dataset

Ank-22 commented 4 years ago

Images file type is .dcm @ranjeetds

ranjeetds commented 4 years ago

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

Ank-22 commented 4 years ago

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

Ank-22 commented 4 years ago

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

Ank-22 commented 4 years ago

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 commented 4 years ago

looks like we need to download data again - v2

Ank-22 commented 4 years ago

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