Lung Cancer Radar: Augmentation and categories in diagnosis of lung cancer this is the source code for my Research paper Lung Cancer Radar: Augmentation and categories in diagnosis of lung cancer. URL: http://www.scirj.org/sep-2021-paper.php?rp=P0921877
By:
- Ahmed Mohamed Ahmed Hassan (Me)
- Mohamed Mahmoud Bakr El-Tohfa
- Mohamed Ragab Mohamed El-Morsy
this project is amid to apply convolutional neural network (CNN) with the Augmentation technique to identify the different categories of Lung Cancer Non-Small Cell. there are three categories to be identified in my research:
- Normal ----> no tumor.
- Adeno -----> Adenocarcinoma.
- Carcinoma -----> Large cell carcinoma.
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note: the Squamous cell carcinoma was not included due to scarcity of the data.
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note: I provided to similar codes: one for google colab and the other is on my own machine because I was willing to understand the difference in code and processing power.
there are few recommendation to make the model more generalized for more categories of the lung cancer or even any other cancer (As it is suited in a pipeline format like)
- find a dataset for the Small Cell Lung Cancer
- increase the number of neural networks.
- trian on Google Colab or any Super computer.