| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - biology |
| - CNN |
| - Deeplearning |
| - LungCancer |
| size_categories: |
| - n<1K |
| pretty_name: CT-Scan |
| --- |
| About Dataset |
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| Lung Cancer Image Dataset: A Comprehensive Collection |
| Explore the intricacies of lung cancer with our curated dataset, consisting of high-resolution CT scan images. This dataset is designed to aid researchers, clinicians, and machine learning/ Deep learning enthusiasts in studying the diverse manifestations of lung cancer. |
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| Key Features: |
| CT Scan Images: |
| Our dataset comprises CT scan images, providing detailed insights into lung cancer morphology. Each image is a visual representation of the complex nature of lung tumors. |
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| Split for Comprehensive Analysis: |
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| Training Set (613 Images): A robust training set containing 613 images meticulously labeled into four distinct classes, allowing for in-depth model training and understanding. |
| Testing Set (315 Images): Evaluate the model's performance on a diverse range of 315 images, each belonging to one of the four well-defined lung cancer classes. |
| Validation Set (72 Images): A curated validation set of 72 images, essential for fine-tuning models and ensuring generalizability. |
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| Classes: |
| Class 1: adenocarcinoma |
| Class 2: large.cell.carcinoma |
| Class 3: normal |
| Class 4: squamous.cell.carcinoma |
