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Online Training (coming soon ...)

A Guided Project of excellence by MCOVISION ...

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Deep Learning and Breast Ultrasound

Become an expert in Deep Learning, and master every aspect of carrying out a complete medical AI project

A unique Programme

Requirements

Notions in Python, Mathematics (linear algebra)

Duration : 4 days

Approximately 2 hours per week

Benefits

  • Training entirely in French

  • -60% for students

  • Unlimited access

Course content

Medical education

Extensive knowledge of oncology, intervention by a renowned professor of medicine, medical imaging applied to breast cancer, diagnosis of benign and malignant tumours on breast ultrasound and mammography

Computer courses in Data Science

Lessons on neural networks, programming algorithms in Python, semi-automatic annotation exercise using Fast Marching, training an AI model, deploying a model using a FLASK API, and more. 

Degree

At the end of the course, each will receive a certification diploma, testifying to their expertise in tumour segmentation using deep learning, and opening the way to new professional and academic opportunities.

Your Teacher

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Jonas ZAOUI


Data Scientist specialising in medical imaging

Hello ! I'm Jonas, and I'll be joining you for this guided project. 
After a degree in mechanical engineering and mathematics, I specialised in Deep Learning applied to medical imaging. I'm passionate about developing AI models at MCOVISION to make the work of practitioners easier. 
I hope you're ready to get started !

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Skills acquired

Computer Vision

You will gain a thorough and practical understanding of computer vision. You will acquire essential skills for processing and analysing visual data, opening the door to an impressive range of applications.  

 

Tools used : OpenCV, Matplotlib

Deep Learning

You will learn how to choose a model architecture for your project, how to optimise it, how to calculate results metrics ...

Tools used : Python, PyTorch, Numpy, TensorBoard, Seaborn, Albumentations, Scikit-Learn

Medical Imaging

In medical imaging, the different imaging techniques will be discussed, as well as how to diagnose breast cancer. 

Deployment with Application

In the production part of our course, you will benefit from invaluable hands-on experience. You will learn how to deploy their Deep Learning models in real-world applications using Flask, a popular Python web framework.

Tools used : Linux, Flask, Docker

Ready to start ?

Dive into the future of medicine with our cutting-edge training in tumour segmentation using Deep Learning. Our programme will guide you through every step, from data acquisition and annotation, to model training and deployment.  

 

This course will open the doors to an exciting and highly rewarding career in healthcare, where innovation and technology meet compassion and patient care. Don't miss out on this opportunity!

Speech by a Professor

Speech by Professor Jean Denis- Laredo (Head of Radiology, Hôpital Lariboisiere), on the use of AI in healthcare

Our offers

1

Data Scientist

  • Courses in Deep Learning and Medical Imaging with knowledge exercises

  • Professional project based on a concrete clinical case

  • Access to the Python programming notebook

  • Professional certification

  • Semi-automatic annotation exercise

  • Programming a neural network from scratch

2

Expert IA Masterclass 

  • Courses in Deep Learning and Medical Imaging with knowledge exercises

  • Professional project based on a concrete clinical case

  • Access to the Python programming notebook

  • Professional certification

  • Semi-automatic annotation exercise

  • Programming a neural network from scratch
    +

  • Access to a Mcovision Slack forum where our experts will answer your questions about the project (1month)

  • Access to a competition Kaggle

  • 30-minute Live ProBoost session to boost your professional profile

3

Other offers

Students Offer

If you are a student, you will receive a 60% discount on the offer of your choice

For Companies

For a company, please contact us so that we can send you a quote

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