AI / ML · Medical Imaging

AVM Detection on MRI

A CNN-based workflow to detect arteriovenous malformations on brain MRI with reproducible training and evaluation.

Context

Medical imaging analysis

Date

2024

Role

Developer

Context

Clinical imaging datasets are often limited and noisy, requiring robust modeling strategies for dependable detection tasks.

Approach

  • CNN baseline with standardized preprocessing
  • Feature engineering and latent-space experiments
  • Validation focused on clinically meaningful sensitivity

Solution

The pipeline provides an interpretable prototype foundation for future clinical decision-support iterations.

Key outcome

A robust ML baseline with documented evaluation criteria for AVM detection scenarios.