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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
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