DocumentCode
3684796
Title
Automated segmentation of regions of interest in whole slide skin histopathological images
Author
Hongming Xu;Cheng Lu;Mrinal Mandal
Author_Institution
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada T6G 2V4
fYear
2015
Firstpage
3869
Lastpage
3872
Abstract
In the diagnosis of skin melanoma by analyzing histopathological images, the epidermis and epidermis-dermis junctional areas are regions of interest as they provide the most important histologic diagnosis features. This paper presents an automated technique for segmenting epidermis and dermis regions from whole slide skin histopathological images. The proposed technique first performs epidermis segmentation using a thresholding and thickness measurement based method. The dermis area is then segmented based on a predefined depth of segmentation from the epidermis outer boundary. Experimental results on 66 different skin images show that the proposed technique can robustly segment regions of interest as desired.
Keywords
"Image segmentation","Epidermis","Dermis","Malignant tumors","Thickness measurement","Image color analysis"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319238
Filename
7319238
Link To Document