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Computer Vision

Research prototype

Medical Imaging AI - Cancer Detection

Problem

Early signs of disease in CT and MRI scans are easy to miss during manual review.

System

A radiology-assistant prototype that preprocesses CT and MRI volumes and applies ResNet-based classification to highlight regions for radiologist review.

My contribution

Built the imaging preprocessing pipeline and trained and evaluated the classification models.

System architecture

  1. Scan input
  2. Preprocessing
  3. CNN classification
  4. Region highlighting

Technical focus

  • Medical imaging
  • Image classification
  • Transfer learning

Technology stack

  • PyTorch
  • OpenCV
  • NumPy

Data source

Dataset and data-collection write-up is being prepared.

Data pipeline

Ingestion and preprocessing write-up is being prepared.

Model or LLM workflow

Model and workflow write-up is being prepared.

Evaluation and results

Evaluation setup and results write-up is being prepared.

Challenges and engineering decisions

Key engineering decisions write-up is being prepared.