The Cancer Imaging Archive (TCIA) http://www.cancerimagingarchive.net/
Code have been written in Modular fashion
PredictCancer.py : Final program for testing a image
NeuralNetwork.py : MLP using SKlearn to learn the features and saving the Weights using pickle
LungCancerTrain.py : All Image processing techniques and code for training the model are written here
dataset_create.py : For making the folders of both positive and negative cases and naming the images in required format
Test Case images of both categories and added in the repository along with its terminal output for reference
Python3 , OpenCV - cv2 , pickle , datafile libraries
Positive case
Negative case
This work was done in partnership with my friend Tarun Bhargav Sriram as a project for Digital Image Processing elective. Any queries about the project, contact at vinaybn8997@gmail.com