Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+# Lung Cancer CT Scan Dataset
+
+## Dataset Description
+
+This dataset contains CT scan images for lung cancer detection and classification. It includes images of four different categories: adenocarcinoma, large cell carcinoma, squamous cell carcinoma, and normal (non-cancerous) lung tissue.
+
+### Classes
+1. Adenocarcinoma
+2. Large Cell Carcinoma
+3. Normal (non-cancerous)
+4. Squamous Cell Carcinoma
+
+## Dataset Statistics
+
+- Total number of images: 315
+- Number of classes: 4
+- Class distribution:
+  - Adenocarcinoma: 120 images
+  - Large Cell Carcinoma: 51 images
+  - Normal: 54 images
+  - Squamous Cell Carcinoma: 90 images
+
+## Usage
+
+This dataset is suitable for training and evaluating machine learning models for lung cancer detection and classification. It can be used for both binary classification (cancerous vs. non-cancerous) and multi-class classification (specific cancer types).