کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
504286 | 864289 | 2010 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation](/preview/png/504286.png)
چکیده انگلیسی
In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critical for specific protein activity quantification and for cancer diagnosis and therapy. We present a fully automated morphology-based technique able to perform accurate nuclear segmentations in images with heterogeneous staining and multiple tissue layers and we compare it with an alternate semi-automated method based on a well established segmentation approach, namely active contours. We discuss active contours’ limitations in the segmentation of immunohistochemical images and we demonstrate and motivate through extensive experiments the better accuracy of our fully automated approach compared to various active contours implementations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computerized Medical Imaging and Graphics - Volume 34, Issue 6, September 2010, Pages 453–461
Journal: Computerized Medical Imaging and Graphics - Volume 34, Issue 6, September 2010, Pages 453–461
نویسندگان
S. Di Cataldo, E. Ficarra, A. Acquaviva, E. Macii,