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dorsar
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lung-cancer

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1adenocarcinoma_left.lower.lobe_T2_N0_M0_Ib
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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).

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