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Intensity-based registration of bright-field and second-harmonic generation images of histopathology tissue sections

机译：基于强度的亮野和二次谐波生成图像的基于强度的组织组织部分的登记

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Adib Keikhosravi; Bin Li; Yuming Liu; Kevin W. Eliceiri;
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年度 2019
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2. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma [J] . Min Feng, Yang Deng, Libo Yang, Diagnostic pathology . 2020,第1期

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4. Image-guided prostate sectioning supporting registration of graded cancerous foci from digital histopathology images to in vivo MRI:An interactive 3D visualization tool [C] . E. Gibson, A. Fenster, C. Crukley, Conference on biomedical applications in molecular, structural, and functional imaging . 2011

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5. Interactions of light and matter for tissue characterization via second-harmonic generation imaging microscopy and light scattering measurements. [D] . Hall, Gunnsteinn. 2012

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6. Intensity-based registration of bright-field and second-harmonic generation images of histopathology tissue sections [O] . Adib Keikhosravi, Bin Li, Yuming Liu, 2020

机译：基于强度的组织病理学组织切片的明场和二次谐波生成图像的配准
7. Uniform polarity microtubule assemblies imaged in native brain tissue by second-harmonic generation microscopy [O] . Dombeck, Daniel A., Kasischke, Karl A., Vishwasrao, Harshad D., 2003

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Intensity-based registration of bright-field and second-harmonic generation images of histopathology tissue sections

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