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Pose Estimation
Spine Deformity Detector

Spine Deformity Detector

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What is Spine Deformity Detector ?

The Spine Deformity Detector is an innovative AI-powered tool designed to analyze images for detecting spinal deformities. It leverages advanced pose estimation technology to identify and assess spinal misalignments, making it a valuable resource for medical professionals and researchers. The tool provides a seamless way to evaluate spinal health and detect potential issues early.


Features

• Automatic Spine Detection: The tool quickly identifies the spine in an image and assesses its alignment.
• Deformity Classification: It can classify common spinal deformities such as scoliosis, kyphosis, and lordosis.
• User-Friendly Interface: Designed for ease of use, even for those without extensive technical expertise.
• Support for Multiple Image Formats: Accepts various image formats, including X-rays, MRIs, and standard photographs.
• Instant Results: Provides fast and accurate analysis, enabling quick decision-making.


How to use Spine Deformity Detector ?

  1. Upload an Image: Submit an image of the spine for analysis.
  2. Wait for Analysis: The AI processes the image to detect spinal alignment and potential deformities.
  3. Review Results: Receive a detailed report highlighting detected issues and their severity.
  4. Take Action: Use the insights to guide further medical evaluation or treatment.

Frequently Asked Questions

What image formats does the Spine Deformity Detector support?
The tool supports standard medical imaging formats like X-rays, MRIs, and jpeg/png files. Ensure images are clear and properly aligned for accurate results.

Can the Spine Deformity Detector diagnose medical conditions?
No, the tool is not a substitute for professional medical diagnosis. It provides preliminary analysis that should be reviewed by a healthcare professional.

Is the data uploaded to the Spine Deformity Detector secure?
Yes, the tool adheres to strict data privacy and security standards to protect user information and uploaded images.

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