Medical imaging · Collaboration

AI-assisted analysis of urethral strictures

Segmentation and classification workflows for retrograde urethrogram images.

  • Medical imaging
  • Segmentation
  • OpenCV
  • Mentoring

Case study

01 · The question

Challenge

Clinical interpretation requires locating strictures, measuring their geometry, and relating image evidence to severity.

02 · The work

Approach

As an independent collaborator, I supported preprocessing design, anatomical masking, classical computer-vision features, early deep-learning prototypes, and methodological mentoring.

03 · The value

Impact

The collaboration contributed to a 2024 medRxiv preprint and advances reproducible image analysis for urological diagnostics.

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