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Proceedings Paper

Adaptive segmentation of nuclei in H&S stained tendon microscopy
Author(s): Bo-I Chuang; Po-Ting Wu; Jian-Han Hsu; I-Ming Jou; Fong-Chin Su; Yung-Nien Sun
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Paper Abstract

Tendiopathy is a popular clinical issue in recent years. In most cases like trigger finger or tennis elbow, the pathology change can be observed under H and E stained tendon microscopy. However, the qualitative analysis is too subjective and thus the results heavily depend on the observers. We develop an automatic segmentation procedure which segments and counts the nuclei in H and E stained tendon microscopy fast and precisely. This procedure first determines the complexity of images and then segments the nuclei from the image. For the complex images, the proposed method adopts sampling-based thresholding to segment the nuclei. While for the simple images, the Laplacian-based thresholding is employed to re-segment the nuclei more accurately. In the experiments, the proposed method is compared with the experts outlined results. The nuclei number of proposed method is closed to the experts counted, and the processing time of proposed method is much faster than the experts’.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170L (9 December 2015); doi: 10.1117/12.2228807
Show Author Affiliations
Bo-I Chuang, National Cheng Kung Univ. (Taiwan)
Po-Ting Wu, National Cheng Kung Univ. Hospital (Taiwan)
Jian-Han Hsu, National Cheng Kung Univ. (Taiwan)
I-Ming Jou, National Cheng Kung Univ. Hospital (Taiwan)
Fong-Chin Su, National Cheng Kung Univ. (Taiwan)
Yung-Nien Sun, National Cheng Kung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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