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---
license: apache-2.0
language:
- en
tags:
- biology
size_categories:
- n<1K
---
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 |