Please use this identifier to cite or link to this item:
https://idr.l2.nitk.ac.in/jspui/handle/123456789/7498
Title: | A hybrid approach for nucleus stain separation in histopathological images |
Authors: | Bhat, H. Kanakatte, A. Nayak, R. Gubbi, J. |
Issue Date: | 2017 |
Citation: | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, Vol., , pp.1218-1221 |
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. |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/7498 |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.