A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves (2017)

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Type of Content
Conference Contributions - PublishedUC Permalink
http://hdl.handle.net/10092/14606Publisher
Springer Verlag (Germany)ISBN
978-3-319-60964-5ISSN
1865-0929Collections
Abstract
This paper presents a novel feature descriptor and classification algorithms for automated scoring of HER2 in Whole Slide Images (WSI). Since a large amount of processing is involved in analyzing WSI images, the primary design goal has been to keep the computational complexity to the minimum possible level. We propose an efficient method based on characteristic curves which encode all relevant information in a smooth polynomial curve with the percentage of stained membranes plotted against variations in intensity/saturation of the colour thresholds used for segmentation. Our algorithm performed exceedingly well at a recent online contest held by the University of Warwick [1], obtaining the second best points score of 390 out of 420 and the overall seventh position in the combined leaderboard [2]. The paper describes three classification algorithms with features extracted from characteristic curves and provides experimental results and comparative analysis
Citation
Mukundan R (2017). A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves. University of Edinburgh: Medical Image Understanding and Analysis. 11/07/2017-13/07/2017. Communications in Computer and Information Science. 723. 386-397.This citation is automatically generated and may be unreliable. Use as a guide only.
Keywords
Whole Slide Image processing; Automated HER2 scoring; Medical image classification; Characteristic curves; Digital pathologyANZSRC Fields of Research
46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111202 - Cancer Diagnosis
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320202 - Clinical chemistry (incl. diagnostics)
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320220 - Pathology (excl. oral pathology)