Citation

Ahmad Fauzi, Mohammad Faizal and Chen, Wei and Knight, Debbie and Hampel, Heather and Gurcan, Metin N. and Frankel, Wendy L. (2020) Tumor Budding Detection System in Whole Slide Pathology Images. Journal of Medical Systems, 44 (2). pp. 1-10. ISSN 0148-5598

Text 10.1007@s10916-019-1515-y.pdf - Published Version Restricted to Repository staff only Download (3MB)

Abstract

Tumor budding is defined as the presence of single tumor cells or small tumor clusters (less than five cells) that ‘bud’ from the invasive front of the main tumor. Tumor budding (TB) has recently emerged as an important adverse prognostic factor for many different cancer types. In colorectal carcinoma (CRC), tumor budding has been independently associated with lymph node metastasis and poor outcome. Pathologic assessment of tumor budding by light microscopy requires close evaluation of tumor invasive front on intermediate to high power magnification, entailing locating the ‘hotspot’ of tumor budding, counting all TB in one high power field, and generating a tumor budding score. By automating these time-consuming tasks, computer-assisted image analysis tools can be helpful for daily pathology practice, since tumor budding reporting is now recommended on select cases. In this paper, we report our work on the development of a tumor budding detection system in CRC from whole-slide Cytokeratin AE1/3 images, based on de novo computer algorithm that automates morphometric analysis of tumor budding.

Item Type:	Article
Uncontrolled Keywords:	Histology, Pathological, Tumor budding, Colorectal cancer, Tumor classification, Digital pathology
Subjects:	R Medicine > RB Pathology
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	14 Dec 2020 13:51
Last Modified:	14 Dec 2020 13:51
URII:	http://shdl.mmu.edu.my/id/eprint/7934

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