Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use

Sammanfattning: Digital pathology is a novel technology currently being implemented world wide. This
thesis summarizes four years of HCI and visualization research and provides an overall
understanding of designing workstation software for pathologists. A human-centered
design approach has been used to create a number of design interventions.
The thesis covers three main areas of inquiry: Understanding pathologists’ problem
solving processes during diagnostic review, how to build different digital tools to support
those processes, and how to incorporate digital image analysis algorithms when building
these tools.
The thesis consist of a kappa that provides background and context, to the remaining
appended papers. The papers describe studies covering, pathologists’ navigation
strategies in gigapixel sized images, the usability of different input devices and structured
reporting interfaces, how principles from volume rendering can be used for multi-scale
images, and how make to use of machine learning algorithms to support pathologists’
diagnostic processes.
Together, these design projects show how digital pathology images can be used
to create tools to make pathologists more productive. This will make it possible for
pathology laboratories to replace their diagonstic workflow using glass slides, with a
workflow based on digital images.