Chest CT-Scan images Dataset

### Data Story
It was a project about chest cancer detection using machine learning and deep leaning (CNN) .
we classify and diagnose if the patient have cancer or not using AI model .
We give them the information about the type of cancer and the way of treatment.
we tried to collect all data we need to make the model classify the images easily.
so i had to fetch data from many resources to start the project .
I researched a lot to collect all the data from many resources and cleaned it for the CNN .

### Data
Images are not in dcm format, the images are in jpg or png to fit the model
Data contain 3 chest cancer types which are Adenocarcinoma,Large cell carcinoma, Squamous cell carcinoma , and 1 folder for the normal cell
Data folder is the main folder that contain all the step folders
inside Data folder are test , train , valid

**test** represent testing set
**train** represent training set
**valid** represent validation set
training set is **70%**
testing set is **20%**
validation set is **10%**

1. **Adenocarcinoma**

Adenocarcinoma of the lung: Lung adenocarcinoma is the most common form of lung cancer
accounting for 30 percent of all cases overall and about 40 percent
of all non-small cell lung cancer occurrences. Adenocarcinomas are
found in several common cancers, including breast, prostate and colorectal.
Adenocarcinomas of the lung are found in the outer region of the lung
in glands that secrete mucus and help us breathe.
Symptoms include coughing, hoarseness, weight loss and weakness.

2. **Large cell carcinoma**

Large-cell undifferentiated carcinoma: Large-cell undifferentiated carcinoma lung cancer grows and spreads quickly and can
be found anywhere in the lung. This type of lung cancer usually accounts for 10
to 15 percent of all cases of NSCLC.
Large-cell undifferentiated carcinoma tends to grow and spread quickly.

3. **Squamous cell carcinoma**

Squamous cell: This type of lung cancer is found centrally in the lung,
where the larger bronchi join the trachea to the lung,
or in one of the main airway branches.
Squamous cell lung cancer is responsible for about 30 percent of all non-small
cell lung cancers, and is generally linked to smoking.

And the last folder is the normal CT-Scan images

### Acknowledgements

We wouldn't be here without the help of others and the resources we found.
thanks for all of my team and the people who supported us

### Inspiration

I want to hear all your feedback

### 数据故事
本项研究致力于运用机器学习与深度学习（CNN）技术进行胸部癌症的检测。通过AI模型，我们对患者是否患有癌症进行分类与诊断，并向其提供癌症类型及治疗方案的相关信息。为使模型能够轻松地对图像进行分类，我们竭力收集所需的所有数据。为此，我不得不从多个资源中获取数据以启动此项目。我广泛研究，从众多资源中收集数据，并对数据进行清洗，以供CNN使用。

### 数据
图像格式并非dcm，而是jpg或png，以适应模型的需求。数据包含三种胸部癌症类型：腺癌、大细胞癌和鳞状细胞癌，以及一个包含正常细胞的文件夹。数据文件夹是包含所有步骤文件夹的主文件夹。在数据文件夹内部，包含测试集、训练集和验证集。

**测试集**代表测试数据集
**训练集**代表训练数据集
**验证集**代表验证数据集
训练集占70%，测试集占20%，验证集占10%。

1. **腺癌**
肺腺癌是肺癌中最常见的类型，占所有病例的30%，占所有非小细胞肺癌病例的40%。腺癌常见于多种癌症，包括乳腺癌、前列腺癌和结直肠癌。肺腺癌位于肺的外部区域，在分泌粘液并帮助我们呼吸的腺体中。症状包括咳嗽、声音嘶哑、体重减轻和虚弱。

2. **大细胞癌**
大细胞未分化癌：这种肺癌生长和扩散迅速，可以在肺的任何部位发现。此类肺癌通常占所有非小细胞肺癌病例的10%至15%。大细胞未分化癌往往生长和扩散迅速。

3. **鳞状细胞癌**
鳞状细胞癌：这种肺癌位于肺的中心区域，在较大的支气管与气管连接到肺部的位置，或在主气道分支之一。鳞状细胞肺癌占所有非小细胞肺癌的30%，通常与吸烟有关。

最后一个文件夹包含正常的CT扫描图像。

### 致谢
我们能够取得今天的成就离不开他人的帮助和我们所找到的资源。感谢我的团队以及所有支持我们的人。

### 灵感
我期待听到大家的反馈。