Stage Ingénieur H/f "contrast Agent Detection On X-ray Images " (master's Thesis)

Philips UK

Paris, France
Segment anything model (sam)
Fine-tuning sam
Ai algorithms on graphs
This internship offers the opportunity to discover Philips, a global leader in medical imaging, and to work at Medisys, an R&D center focused on AI for medical image processing

Job Summary

  • This internship offers the opportunity to discover Philips, a global leader in medical imaging, and to work at Medisys, an R&D center focused on AI for medical image processing.
  • The role involves exploring and designing AI algorithms on graphs and participating in research projects for minimally invasive interventional procedures, particularly in cardiology.
  • You will study how SAM can be used for segmenting coronary arteries and catheters on interventional X-ray images, exploring fine-tuning methods and prompt types.

Matching Summary

This internship offers the opportunity to discover Philips, a global leader in medical imaging, and to work at Medisys, an R&D center focused on AI for medical image processing.

Skills & Requirements

Must-have

  • Segment Anything Model (SAM)
  • fine-tuning SAM
  • AI algorithms on graphs
  • Python language experience
  • Tensorflow/Keras/Pytorch knowledge

Nice-to-have

  • communication and teamwork skills
  • familiarity with medical images

Key Requirements

  • 3rd year Engineering school or Master's degree
  • Specialization in AI, machine learning, image processing, or applied mathematics
  • Knowledge in statistics, machine learning, deep learning, image processing
  • Fluent English

Work Rights

Not specified

Tailored Resume

Cover Letter