Update README.md

README.md

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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