Tubule Segmentation of Fluorescence Microscopy Images Based on Convolutional Neural Networks With Inhomogeneity Correction
نویسندگان
چکیده
منابع مشابه
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Fluorescence microscopy has become a widely used tool for studying various biological structures of in vivo tissue or cells. However, quantitative analysis of these biological structures remains a challenge due to their complexity which is exacerbated by distortions caused by lens aberrations and light scattering. Moreover, manual quantification of such image volumes is an intractable and error...
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ژورنال
عنوان ژورنال: Electronic Imaging
سال: 2018
ISSN: 2470-1173
DOI: 10.2352/issn.2470-1173.2018.15.coimg-199