Developing deep learning models that account for all variants of abnormality in a given tissue slide can be a challenge requiring extensive and time consuming annotation of thousands of pathology slides by experienced pathologists. The process also needs to effectively account for tissue processing variance and digital pathology scanner selection, which is almost infinite due to the extensive range of interchangeable unit operations available for the pathology lab.
In scenarios where a high percentage of normal content presents, we propose a generalised model for abnormality detection to help identify abnormal content of interest and support the elimination of normal cases from the workflow. The generalised model as proposed is developed solely from normal cases, requires no annotation of slides as a result and can be rapidly tailored to account for inter-laboratory processing variance.
During his presentation,“Finding Normals: Application and Implementation AI Driven Screen Processes in Pathology”, Dr. O’Shea will discuss how such approaches can be leveraged, useful application segments for the technology and how he foresees this capability being embodied in software workflows.
About Pathology Horizons
Pathology Horizons is taking place from 13-15 September 2018 at the Lough Erne Resort in N.Ireland. It is a unique CPD conference, organised by Cirdan that looks at what lies ahead in pathology. Delegates will learn about new technologies, lines of research and procedural developments that are driving the future of pathology. View Agenda
Please note that given the nature of this boutique style conference that there are only a limited number of places available. If planning on attending booking soon is advisable. Register here
