Universal Lesion Segmentation: Accelerating Radiologists' Workflows?

Abstract
In this talk, Max de Grauw will explore the state-of-the-art in universal lesion segmentation (ULS) and automatic follow-up in Computed Tomography, the focus of his PhD research. He will discuss the performance of current algorithms, whether they are able to operate independently of radiologists, and how they integrate into clinical workflows. We will also look at whether these systems reduce reading times when used by radiologists.

Meeting details:
The Teams link will be available when you RSVP to this event.
14:30 - 15:30 (CET):
Max de Grauw
Universal Lesion Segmentation: Accelerating Radiologists' Workflows?

About the speaker
Max de Grauw has been a PhD candidate at the Diagnostic Image Analysis Group (DIAG) of the Radboud university medical center. His research has focused on helping radiologists manage the increasing workloads caused by the ever-increasing number of scans they have to read.