This opportunity is based in Lausanne

AI Platform for Radiology (Internship)

PrintShareApply

 

In this role

DESCRIPTION:

The goal of this project is to develop an AI-based platform for the analysis of radiology images. This platform should be able to handle the different formats the images may have (chief among them is the DICOM format), as well as different resolutions and throughputs. Dimensionality of the images, whether 2D or 2D slices from a 3D stack, should also be integrated in the design. Then, analysis and machine learning tools should be made available through an interface. For example, feature selection algorithms, annotation tool, and classification models will be fully integrated. Finally, as it is destined to be used by radiologist, the platform should be easy to use, and the options offered should be self-explanatory. A use case that will be implemented is the classification of tumors at different stages and their segmentation in a given modality and for a given cancer type.   

Challenges:  The development of such a platform is challenging due to its generic nature. Implementing a single platform able to handle multimodal images (CTscans, MRI, Xrays) is complex. In addition, the variety of cases, patients and imaging systems make the image analysis and machine learning parts extremely challenging. Finally, these datasets suffer from an inconsistent ground truth, which leads to error in the learning phases and performance evaluation of the models.

Project applications: Computer-aided diagnosis, integration into hospital and pharma systems

What you will learn: You will be a junior data scientist and software engineer, developing your skills in machine learning as well as software engineering, implementing the complete lifecycle of an applied AI platform

Keywords: Machine learning, computer vision, software engineering, human-machine interface.

 

OBJECTIVES: 

In this project, the goal is to:

• Develop a platform to enable and AI-based analysis of radiology images that is accurate, fast and easy to use.

What we offer

Join our team as intern and you will find a young, dynamic and culturally diverse working environment.

About your profile

• Required: machinelearning, computer vision, deep learning,software development in Python


• Knowledge of UX development, Docker is a plus.

If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).ApplySee aloTraining ( Apprenticeship/Interns/ Master Thesis)

Active Learning Annotation Tool (Internship)

Read moreTraining ( Apprenticeship/Interns/ Master Thesis)

Smart Mailboxes for Office 365 (Internship)

Read moreTraining ( Apprenticeship/Interns/ Master Thesis)

Internship / Master Thesis - Intelligent Web Application Firewall

Read moreRead moreCorporate

About ELCA

With 50+ year of history and over 1300 specialists, we offer a unique spectrum of experience, skills and technical innovations.

Read moreCorporate

Starting your career with us!

You want to leverage your educational background, apply your infinite curiosity and your out-of-the-box thinking.

Read moreJob opportunity

All Job opportunities

Your initiative is a chance ! We're constantly looking for talented individuals. Check our latest job opportunities !

By continuing to browse this site, you accept the use of cookies or similar technologies whose purpose is to produce statistics on visits to our site (tests and measurement of visitor numbers, visit frequency, page views and performance) and to offer you content and promotions which will be of interest to you.

Our cookie policy has been updated. Feel free to manage your preferences.

OK, accept allConfigureclosesave

Manage your cookie preferences

Update your cookie preferences

Find out about the type of cookies stored on your device, accept or block them for the entire site, all services or on a service-by-service basis.

OK, accept all

Visitor flow

These cookies provide us with insight into traffic sources and allow us to better understand our visitors anonymously.

(Google Analytics and CrazyEgg)

NewDisableAllow

Sharing tool

Social media cookies allow content sharing on your preferred networks.

(ShareThis)

NewDisableAllow

Visitor understanding

These cookies are used to track visitors across websites.

The intention is to enable us to offer more relevant, targeted content to existing contacts (ClickDimensions) and display ads that are relevant and engaging for users (Facebook Pixels).

 

NewDisableAllowFor more information about these cookies and our cookie policy, click here