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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- biology |
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- CNN |
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- Deeplearning |
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- LungCancer |
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size_categories: |
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- n<1K |
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pretty_name: CT-Scan |
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--- |
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About Dataset |
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Lung Cancer Image Dataset: A Comprehensive Collection |
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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: |
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CT Scan Images: |
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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. |
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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. |
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Validation Set (72 Images): A curated validation set of 72 images, essential for fine-tuning models and ensuring generalizability. |
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Classes: |
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Class 1: adenocarcinoma |
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Class 2: large.cell.carcinoma |
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Class 3: normal |
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Class 4: squamous.cell.carcinoma |
