A hybrid approach for nucleus stain separation in histopathological images

Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/7498

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DC Field	Value	Language
dc.contributor.author	Bhat, H.
dc.contributor.author	Kanakatte, A.
dc.contributor.author	Nayak, R.
dc.contributor.author	Gubbi, J.
dc.date.accessioned	2020-03-30T09:59:16Z	-
dc.date.available	2020-03-30T09:59:16Z	-
dc.date.issued	2017
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, Vol., , pp.1218-1221	en_US
dc.identifier.uri	http://idr.nitk.ac.in/jspui/handle/123456789/7498	-
dc.description.abstract	Difficulties in automation of histology image analysis are caused due to varying stain colors in the histology slides and the interaction of stains. Incorrect stain separation results in incorrect nucleus segmentation. A new hybrid algorithm has been proposed combining de-staining and wedge separation algorithms, which provides better stain separation and maintains color integrity of the input image. The proposed algorithm is tested on 36 histopathological images covering varying tissues and compared with popular methods in the area with excellent results in high nuclei density category. � 2017 IEEE.	en_US
dc.title	A hybrid approach for nucleus stain separation in histopathological images	en_US
dc.type	Book chapter	en_US
Appears in Collections:	2. Conference Papers

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