Medical Imaging Datasets

High-quality, diverse radiology to cardiology datasets designed to power diagnostic AI models, accelerate MedTech development, and support advanced clinical research.

Medical imaging datasets

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Medical Imaging & Signal Datasets for AI/ML Healthcare Solutions

Shaip offers a comprehensive portfolio of medical imaging and signal datasets designed to power next-generation AI/ML solutions in healthcare. From radiology to cardiology, our datasets help you build, train, and validate robust models for diagnosis, triage, and decision support.

Our collections are sourced from real-world clinical environments and curated using stringent quality standards. Each dataset consists of high-resolution images or signals, carefully annotated and processed with advanced techniques to ensure consistency, accuracy, and usability for AI/ML workflows. Whether you are developing algorithms for disease detection, workflow automation, or clinical research, Shaip provides the reliable data foundation you need.

With Shaip, healthcare organizations, MedTech companies, and research institutions can accelerate innovation, improve diagnostic accuracy, and ultimately enhance patient outcomes by leveraging diverse, high-quality datasets across multiple modalities.

Catalog Volume Geography
Computed Rediography 20,000 USA and India
Digital X-Ray 20,000 USA and India
Radio Fluoroscopy Catalog 20,000 USA and India
X-Ray Angiography 20,000 USA and India
PET 20,000 USA and India
Computed Tomography 20,000 USA and India
Magnetic Resonance 20,000 USA and India
Nuclear Medicine 20,000 USA and India
Magnetic Resonance 20,000 USA and India
Key Object Selection 20,000 USA and India
Ultrasound 20,000 USA and India
Mammography 20,000 USA and India
Audio ECG 20,000 USA and India
Mammography 20,000 USA and India
Electrocardiography 5,000 USA and India
DEXA 3,000 USA and India
Digital Radiography 1,000 USA and India
Diaphanography 500 USA and India
Radiographic Imaging 200 USA and India

We deal with all types of Data Licensing i.e., text, audio, video, or image. The datasets consist of Medical datasets for ML: Physician Dictation Dataset, Physician Clinical Notes, Medical Conversation Dataset, Medical Transcription Dataset, Doctor-Patient Conversation, Medical Text Data, Medical Images – CT Scan, MRI, Ultra Sound (collected basis custom requirements).

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CT scan image datasets are collections of high-resolution images captured during CT scans, which are used to visualize internal body structures. These datasets are designed to support AI/ML research and medical diagnosis.

These datasets are essential for training AI models to automate diagnosis, detect abnormalities, and improve medical imaging analysis for conditions like cancer, neurological disorders, and cardiovascular diseases.

CT scan datasets assist in diagnosing a wide range of conditions, including cancer (e.g., lung cancer), brain disorders, cardiovascular diseases, fractures, and infections such as COVID-19.

The datasets include CT images of the brain, chest, abdomen, pelvis, spine, thorax, head, hips, knees, and more. Specialized datasets, like contrast-enhanced images, are also available.

The datasets include high-resolution images that are suitable for precise medical analysis and AI/ML model training.

The datasets are provided in standard formats such as DICOM, PNG, or JPEG, ensuring compatibility with most AI/ML workflows.

Yes, all CT scan datasets are de-identified to remove personally identifiable information (PII), ensuring patient privacy and compliance with legal standards.

Yes, the datasets are fully compliant with HIPAA and other global data privacy regulations to ensure secure and ethical usage.

Yes, datasets can be tailored to specific needs, such as focusing on a particular body part, condition, or geographic region.

Yes, the datasets are scalable and include thousands of images, making them suitable for both small-scale and large-scale AI/ML projects.

The datasets are delivered in standard formats with detailed metadata, making them easy to integrate into AI workflows for training, testing, and validation.

The data undergoes rigorous quality checks, including expert annotation and validation, to ensure accuracy and reliability for AI training.

Costs depend on factors like dataset size, customization requirements, and project scope. We request that you fill out the “Contact Us” form with your requirements to receive the best quote.

Delivery timelines vary based on project size and complexity but are structured to meet your requirements efficiently.

These datasets enable AI models to accurately detect and diagnose medical conditions, automate imaging workflows, and enhance patient care by providing reliable diagnostic insights.