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Development of algorithms to automate the detection of lesions

Development of algorithms to automate the detection of lesions

The Customer:

One of the leading medical imaging device manufacturers from Japan

Project Description & Scope:

  • Image processing algorithm development for automated defect detection in the retina
  • Detection of Dark & Bright Lesions

images

The Solution:

  • Identified algorithms for Ganglion Cell layer thickness detection
  • Refinement of algorithm for target images and performance fine-tuning
  • Image processing solutions: Image segmentation, preprocessing & post processing
    • Pre-processing: Detection of optical disk, blood vessel structure and fovea
    • Post-processing: Rejection of false detection based on pre-defined constraints

Business Benefit:

  • Experienced team in the medical imaging domain improving overall product features by taking complete ownership of application development
  • Completed development in lesser time against target time thus reducing cost & faster Time-to-Market for product launch
  • Leveraged Tata Elxsi medical device in-house regulatory compliance practice for FDA compliance
  • A fixed-cost engagement in the rapid-product prototyping development helped the customer keep risks under control