@inproceedings{8e54a0087c784345ad51251569a557fe,
title = "Adaptive segmentation of nuclei in H&E stained tendon microscopy",
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&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&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'.",
author = "Chuang, {Bo I.} and Wu, {Po Ting} and Hsu, {Jian Han} and Jou, {I. Ming} and Su, {Fong Chin} and Sun, {Yung Nien}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 7th International Conference on Graphic and Image Processing, ICGIP 2015 ; Conference date: 23-10-2015 Through 25-10-2015",
year = "2015",
doi = "10.1117/12.2228807",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xudong Jiang and Xudong Jiang and Yulin Wang and Xudong Jiang and Yulin Wang and Xudong Jiang and Yulin Wang and Yulin Wang",
booktitle = "Seventh International Conference on Graphic and Image Processing, ICGIP 2015",
address = "United States",
}