How to learn AI in Medical Imaging after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine AI in Medical Imaging depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches AI in Medical Imaging

AI in medical imaging applies segmentation, detection and classification networks to X-ray, CT, MRI and pathology images. Technically it is computer vision; clinically it is a regulated diagnostic-support problem with strict evaluation requirements. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

• Computer vision — the exact technique medical imaging AI is built from — is an explicitly documented topic in VSET's AI curriculum at learn.engineering.vips.edu.
• Deep learning and transformer material in the same curriculum covers the architectures used for segmentation and classification.
• Radiology and clinical practice are not taught; the medical framing enters through capstone project choice rather than named coursework.
• The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where AI in Medical Imaging skills lead

Graduates applying AI in Medical Imaging skills typically target roles such as Computer Vision Engineer, Machine Learning Engineer, Medical Imaging Engineer, AI Research Associate, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.