Citation

Ur Rehman, Zaka and Ahmad Fauzi, Mohammad Faizal and Wan Ahmad, Wan Siti Halimatul Munirah and Cheah, Phaik Leng and Looi, Lai Meng and Toh, Yen Fa and Abas, Fazly Salleh (2023) Nuclei Detection in HER2-SISH Histopathology Images. In: 2023 IEEE 2nd National Biomedical Engineering Conference (NBEC), 05-07 September 2023, Melaka, Malaysia.

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Abstract

Automatic quantification of cell nuclei in silverenhanced in situ hybridization (SISH) images can be of great help to pathologists to examine HER2 status based on HER2 and CEN17 biomarkers. This paper proposed an image processingbased method for nuclei detection in HER2-SISH images. We first extracted sections of the foreground image using a combination of local thresholding, morphological filtering, and expanding regions based on intensity. Then the marker-controlled watershed is applied for separating the clustered nuclei in the foreground regions. A set of nuclei marked by our collaborating pathologists on SISH-stained breast cancer images are used to measure the effectiveness of the proposed approach. HER2-SISH histo-scoring is highly dependent on the accurately identified nuclei, hence the importance of the proposed detection method. Experimental results shows very promising detection performance, with high concordance against the pathologists’ marking

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Histopathology
Subjects:	R Medicine > RC Internal medicine
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	22 Feb 2024 06:47
Last Modified:	22 Feb 2024 06:47
URII:	http://shdl.mmu.edu.my/id/eprint/12112

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