FAQs
What is the main focus of the internship position?
The main focus of the internship is to study how the Segment Anything Model (SAM) can be utilized in the segmentation of coronary arteries and catheters in interventional X-ray images.
What qualifications are needed for candidates applying for this internship?
Candidates should be in their third year of engineering school or pursuing a Master 2 Research, with a specialization in machine learning, image processing, or applied mathematics.
What technical skills are required for this role?
Required skills include solid knowledge of statistics, machine learning, deep learning, and/or image processing, as well as experience in Python and using PyTorch.
Is proficiency in English necessary for this position?
Yes, proficiency in English, both spoken and written, is mandatory.
What types of tasks will the intern be involved in?
The intern will compare fine-tuning methods of SAM on X-ray data, explore different prompting techniques for various segmentation tasks, and potentially study the use of SAM2 for video data processing.
What is the significance of adapting SAM to medical images?
Adapting SAM to medical images is significant due to the sensitivity and rarity of medical data, and the costly nature of annotation, which often requires medical expertise.
What kind of team environment can the intern expect?
The intern can expect a collaborative team environment that emphasizes good communication and teamwork.
What are the potential outcomes from this internship?
Potential outcomes include developing effective techniques for medical image segmentation, gaining hands-on experience with deep learning models, and contributing to advancements in medical imaging technology.
Is there a specific application area for the research conducted during the internship?
Yes, the specific application area is the segmentation of coronary arteries and catheters in interventional X-ray images.
Are there opportunities for further career development at Philips after this internship?
Yes, there may be opportunities for further career development at Philips as they value talent and commitment to innovation within the healthcare field.