CT Scan Image Dataset

Project Overview:

Objective

Our team embarked on an ambitious journey to create a robust dataset comprising CT scan images, a critical tool in modern healthcare. This dataset is designed to enhance medical image analysis, providing a foundation for advancements in medical technology and patient care.

Scope

We successfully compiled an extensive collection of CT scan images. Our focus was on variety, encompassing various anatomical regions, medical conditions, and imaging techniques like contrast-enhanced and non-contrast scans. Each image was meticulously labeled to meet research and diagnostic standards.

CT Scan Image Dataset
CT Scan Image Dataset
CT Scan Image Dataset
CT Scan Image Dataset

Sources

  • Hospitals and Medical Facilities: Collaborate with hospitals and medical facilities to obtain CT scan images from patients with appropriate consent and privacy considerations.
  • Public Databases: Access publicly available medical image databases that contain CT scan data, if applicable.
CT Scan Image Dataset
CT Scan Image Dataset

Data Collection Metrics

  • Total CT Scan Images: 20,000
  • From Hospital Collaborations: 15,000
  • Sourced from Public Databases: 5,000 (subject to availability)

Annotation Process

Stages

  1. Medical Annotation: Each image was annotated with critical medical information, such as the body region scanned, medical conditions identified, and key measurements like tumor sizes.
  2. Patient Demographics: We gathered comprehensive metadata on patient demographics and medical history.
  3. Image Acquisition Details: We meticulously recorded imaging parameters for each CT scan, ensuring a rich dataset for nuanced analysis.

Annotation Metrics

  • Images with Medical Annotations: 20,000
  • Patient Demographic Metadata: 20,000
  • Image Acquisition Details: 20,000
CT Scan Image Dataset
CT Scan Image Dataset
CT Scan Image Dataset
CT Scan Image Dataset

Quality Assurance

Stages

  • Annotation Verification:¬†Our medical experts conducted rigorous validations to ensure annotation accuracy.
  • Patient Consent and Privacy:¬†We adhered strictly to medical privacy regulations, obtaining necessary patient consent and implementing anonymization protocols.
  • Data Security:¬†Robust measures were adopted to safeguard patient information, aligning with data protection policies.

QA Metrics

  • Annotation Validation Cases: 2,000 (10% of total)
  • Privacy Audits: Conducted regularly for compliance

Conclusion

The CT Scan Image Dataset is a valuable resource for medical research, diagnosis, and the development of machine learning models for medical image analysis. With diverse CT scan images, accurate medical annotations, and strict privacy compliance, it serves as an essential tool for advancing healthcare technology and improving patient care.

quality dataset

Quality Data Creation

Guaranteed TAT‚Äč

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified‚Äč

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance‚Äč

HIPAA Compliance

GDPR Compliance‚Äč

GDPR Compliance

Compliance and Security‚Äč

Compliance and Security

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

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