/Lung-Cancer-Detection

A convolutional neural network (CNN) based project for prediciton of cancer with inputs as DCM files (3d Data)

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Lung-Cancer-Detection

A convolutional neural network (CNN) based project for prediciton of cancer with inputs as DCM files (3d Data)
Accuracy on the first pass : 0.59
The dataset had around 1.5k+ of datasets which is realtively very low for working on a CNN model.
Apart from it the data was unbalanced as 1.2k approx data of non cancer percents and the rest for the cancerous one giving approx 74% for no-cancer as a model

Libraries and Modules used

Tensorflow, Numpy, Pandas, Matplotlib, Pydicom, OS (optional for preprocessing), Math and CV2.

Dataset

The dataset can be downloaded from the torrent file available in the repository.