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Research project

Medical Image Processing

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Project overview

Engineering and Physical Sciences Research Council Studentship Award, EPSRC Grant number 1511465.
Medical surgeons treating patients with tumours, test tissue samples on the presence of cancer cells during the operation. In order to decide on a diagnosis, pathologists need to quickly analyse these tissue samples. They have the option of comparing the tissue against specimens from past cases, which are stored as physical wax models. This comparison is a time consuming process and because of that pathologists usually rely on cases they have seen before. This wastes the potential of the stored samples and may hinder the doctor from choosing the best possible treatment. Digitalizing the large amounts of wax samples, would allow quickly searching through them and provide the pathologist a selection of samples similar to the one he analyses.
The aim of this project is to automatize this digitalization of hospitals lung specimens and develop the underlying tools, technologies and platforms to do this. Furthermore a way of arranging them in a database is to be found and efficient comparison of new cases against the ones from the database is needed. Successful (or unsuccessful) treatment of these similar cases is to be presented to doctors.

Research outputs

Lasse Wollatz,
Mark Scott,
Steven J. Johnston,
Peter M. Lackie,
, 2018
Type: conference
Lasse Wollatz,
Steven Frampton,
Kasia Konieczny,
Tim Mitchell,
Steven J. Johnston,
Andrea Burgess,
& Hasnaa Ismail Ismail-Koch
, 2018
Type: conference
Lasse Wollatz,
Steven J. Johnston,
Peter M. Lackie,
, 2017 , Journal of Digital Imaging , 30 (6) , 772--781
Type: article
Lasse Wollatz,
Kasia Konieczny,
Clive Vandervelde,
Tim Mitchell,
Andrea Burgess,
& Hasnaa Ismail-Koch
, 2016
Type: conference
Lasse Wollatz,
& Steven J. Johnston
, 2015
Type: conference
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