Automating assessment of silver-enhanced in situ hybridization for evaluation of cancer properties
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
To correctly assess breast cancer properties, doctors have to compare and evaluate
histopathological slides stained for the presence of certain proteins; in the event that the initial
evaluation is inconclusive, additional assessment is done. The assessment is necessary to
accurately determine the type of cancer and select fitting treatment that increases the
likelihood of the patient’s recovery.
In this paper, approaches to automate different steps of this assessment are explored with the
immediate goal of implementing an end-to-end algorithm pipeline capable of performing this
task with minimal human input, with the potential goal of incorporating this pipeline into an
existing larger slide processing software.
Description
Keywords
automation, cancer, cell detection, computer vision, e-cadherin, HER2, histopathology, image processing, p63, SISH, whole slide imaging