Datasets:
license: apache-2.0
language:
- en
tags:
- biology
- CNN
- Deeplearning
- LungCancer
size_categories:
- n<1K
pretty_name: CT-Scan
About Dataset
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.
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.
Split for Comprehensive Analysis:
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.
Classes: Class 1: adenocarcinoma Class 2: large.cell.carcinoma Class 3: normal Class 4: squamous.cell.carcinoma