Our mission

The objective of the Dline.io platform is to improve radiotherapy treatment and optimize practices with appropriate digital tools. Dline.io helps physicians in their practices, training them using databases of clinical cases and documented medical atlases as well as training modules.

The main goal is to reduce segmentation variability between physicians by offering them a web based tool to segment and visualize practical cases. Any method that reduces the risk factors in this step helps to optimize the management of patients treated with radiotherapy.

Dline.io wishes to facilitate and simplify access to the latest contouring recommendations (EORTC, RTOG, ANOCEF, etc.) whether it be on computer, tablet or mobile.

All the information on Dline.io is validated by experts.

Team

Dline is made up of a small team, each passionate about their job.

Maxime Gobeli

CEO - Founding Partner

Maxime is a radiation oncologist with a passion for new technology and improving quality in cancer care delivrance.

Luc Lafitte

CTO - Founding Partner

Luc has strong skills in front-end development and UX. Further more, his experience in medical imaging allows him to envision the best viewer design and image processing.

Anthony Moissant

Lead Dev - Founding Partner

Anthony is in charge of the technical part of back-end and server development. He also has a solid expertise in software architecture and security.

Contributing content

The Dline.io database is built in collaboration with radio therapy professionals. Each clinical case is reviewed and validated by an expert in order to guarantee the quality of the data.

The platform is designed to be open to contributions from professionals :

Editor : you are a radiotherapy professional and would like to share a clinical case that is a benchmark : contact us to suggest your segmented clinical case and put your name on it.

Reviewer : you are an expert in radiotherapy and wish to improve the methodology used on a clinical case in your specialty : contact us to review a clinical case and put your name on it.

Workshops

Dline.io offers a series of online training modules to learn and improve patient contouring and repositioning practices for physicians, dosimetrists and radiotherapy technicians. It provides a method to compare contours between participants and experts (Dices, …).

All of these metrics and participants contours are exportable for further exploitation.

More informations about workshops.

Image anonymisation

We convert dicom imagery data to nifti format via the ITK library. The Nifti format is an imaging format dedicated to research, only the geometric information is kept. Every personal information or imagery acquisition method is permanently deleted.

We also resample and change the orientation and isocenter of the image to avoid any possibility of matching (merging) with the original image.

To prevent any risk of identification of the patient via a 3d reconstruction face (facial recognition algorithm) the patient's eyes, nose and mouth are partially removed via a permanent deletion of the voxels.

Contact Us

For further question or suggestion, contact us.