Kabil007/LungCancer4Types

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