├── Pytorch_chest_CT.ipynb
└── README.md


/README.md:
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 1 | # Chest Cancer Classification with PyTorch
 2 | The goal of this project is to develop a deep learning model for the classification of chest cancer using PyTorch and EfficientNet
 3 | 
 4 | ## About Dataset
 5 | Images are not in dcm format, the images are in jpg or png to fit the model
 6 | Data contain 3 chest cancer types which are **Adenocarcinoma**,**Large cell carcinoma**, **Squamous cell carcinoma**, and 1 folder for the **normal** cell
 7 | Data folder is the main folder that contain all the step folders
 8 | inside Data folder are train, valid, and test
 9 | 
10 | training set is 70% \
11 | testing set is 20% \
12 | validation set is 10% 
13 | 
14 | **Adenocarcinoma**
15 | Adenocarcinoma of the lung: Lung adenocarcinoma is the most common form of lung cancer
16 | accounting for 30 percent of all cases overall and about 40 percent
17 | of all non-small cell lung cancer occurrences. Adenocarcinomas are
18 | found in several common cancers, including breast, prostate and colorectal.
19 | Adenocarcinomas of the lung are found in the outer region of the lung
20 | in glands that secrete mucus and help us breathe.
21 | Symptoms include coughing, hoarseness, weight loss and weakness.
22 | 
23 | **Large cell carcinoma**
24 | Large-cell undifferentiated carcinoma: Large-cell undifferentiated carcinoma lung cancer grows and spreads quickly and can
25 | be found anywhere in the lung. This type of lung cancer usually accounts for 10
26 | to 15 percent of all cases of NSCLC.
27 | Large-cell undifferentiated carcinoma tends to grow and spread quickly.
28 | 
29 | **Squamous cell carcinoma**
30 | Squamous cell: This type of lung cancer is found centrally in the lung,
31 | where the larger bronchi join the trachea to the lung,
32 | or in one of the main airway branches.
33 | Squamous cell lung cancer is responsible for about 30 percent of all non-small
34 | cell lung cancers, and is generally linked to smoking.
35 | 


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