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Journal of Medical Imaging • Open Access

Automatic extraction of cell nuclei from H&E-stained histopathological images
Author(s): Faliu Yi; Junzhou Huang; Lin Yang; Yang Xie; Guanghua Xiao

Paper Abstract

Extraction of cell nuclei from hematoxylin and eosin (H&E)-stained histopathological images is an essential preprocessing step in computerized image analysis for disease detection, diagnosis, and prognosis. We present an automated cell nuclei segmentation approach that works with H&E-stained images. A color deconvolution algorithm was first applied to the image to get the hematoxylin channel. Using a morphological operation and thresholding technique on the hematoxylin channel image, candidate target nuclei and background regions were detected, which were then used as markers for a marker-controlled watershed transform segmentation algorithm. Moreover, postprocessing was conducted to split the touching nuclei. For each segmented region from the previous steps, the regional maximum value positions were identified as potential nuclei centers. These maximum values were further grouped into k -clusters, and the locations within each cluster were connected with the minimum spanning tree technique. Then, these connected positions were utilized as new markers for a watershed segmentation approach. The final number of nuclei at each region was determined by minimizing an objective function that iterated all of the possible k -values. The proposed method was applied to the pathological images of the tumor tissues from The Cancer Genome Atlas study. Experimental results show that the proposed method can lead to promising results in terms of segmentation accuracy and separation of touching nuclei.

Paper Details

Date Published: 21 June 2017
PDF: 12 pages
J. Med. Imag. 4(2) 027502 doi: 10.1117/1.JMI.4.2.027502
Published in: Journal of Medical Imaging Volume 4, Issue 2
Show Author Affiliations
Faliu Yi, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Junzhou Huang, The Univ. of Texas at Arlington (United States)
Lin Yang, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Chinese Academy of Medical Science and Peking Union Medical College (China)
Yang Xie, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Guanghua Xiao, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)


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