LungCancer4Types-ImageDataset

Lung Cancer Image Dataset: A Comprehensive Collection 2024
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