کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
532757 | 869989 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automated cell analysis in 2D and 3D: A comparative study
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Automated cell analysis in 2D and 3D: A comparative study Automated cell analysis in 2D and 3D: A comparative study](/preview/png/532757.png)
چکیده انگلیسی
Optical projection tomographic microscopy is a technique that allows 3D analysis of individual cells. Theoretically, 3D morphometry would more accurately capture cellular features than 2D morphometry. To evaluate this thesis, classifiers based on 3D reconstructions of cell nuclei were compared with 2D images from the same nuclei. Human adenocarcinoma and normal lung epithelium cells were used. Testing demonstrated a three-fold reduction in the false negative rate for adenocarcinoma detection in 3D versus 2D at the same high specificity. We conclude that 3D imaging will potentially expand the horizon for automated cell analysis with broad applications in the biological sciences.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 42, Issue 1, January 2009, Pages 141–146
Journal: Pattern Recognition - Volume 42, Issue 1, January 2009, Pages 141–146
نویسندگان
Michael G. Meyer, Mark Fauver, J. Richard Rahn, Thomas Neumann, Florence W. Patten, Eric J. Seibel, Alan C. Nelson,