WBC Classification: LISC & Raabin (GAN Augmented)

A dataset of white blood cell (WBC) images from the LISC and Raabin sources, augmented using Generative Adversarial Networks (GANs). It is hosted on Kaggle, but the specific collection date, creator, and dataset size are unknown. The data is intended for computer vision tasks related to medical cell classification.

Use Cases

• Train a classifier to identify white blood cell types (inferred from domain, verify after download)
• Benchmark GAN-based data augmentation techniques for medical imaging (inferred from domain, verify after download)
• Develop automated systems for blood smear analysis (inferred from domain, verify after download)

Strengths

• Published on Kaggle.
• Uses GAN-based data augmentation, a modern technique for expanding image datasets.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column details are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific LISC and Raabin sources.

Provenance

Source

LISC and Raabin medical imaging sources.

Collection Method

Images were likely collected from blood smear slides and augmented using GANs.