Extraction of target region in lung immunohistochemical image based on artificial neural network-Reference-Cited by-同舟云学术

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Extraction of target region in lung immunohistochemical image based on artificial neural network

Published:2016-04-16 Issue:19 Volume:75 Page:12227-12244
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Fan Di,Wei Lu,Cao Maoyong

Funder

Shandong Province Young Scientist Foundation

China Postdoctoral Science Foundation

Natural Science Foundation of Shandong Province

Project of Shandong Province Higher Educational Science and Technology Program

Project of South Africa/China Research Collaboration in Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-016-3459-2.pdf

Reference46 articles.

1. Amaral T, McKenna SJ, Robertson K, Thompson A (2013) Classification and immunohistochemical scoring of breast tissue microarray spots. IEEE Trans Biomed Eng 60(10):2806–2814

2. Awad M et al (2007) Multicomponent image segmentation using a genetic algorithm and artificial neural network. IEEE Geosci Remote Sens Lett 4(4):571–575

3. Boughrara H, Chtourou M, Chokri BA, Chen L (2016) Facial expression recognition based on a mlp neural network using constructive training algorithm. Multimed Tools Appl 75(2):709–731

4. Chen YL, et al. (2013) Using immunoadjuvant agent glycated chitosan to enhance anti-cancer stem like cell immunity induced by HIFU. SPIE Conference: Biophotonics and Immune Responses VIII, San Francisco, California, USA

5. Ficarra E et al (2011) Automated segmentation of cells with IHC membrane staining. IEEE Trans Biomed Eng 58(5):1421–1429

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