Automated nuclei segmentation of malignant using level sets-Reference-Cited by-同舟云学术

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Automated nuclei segmentation of malignant using level sets

Published:2016-08-01 Issue:10 Volume:79 Page:993-997
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc. Res. Tech.

Author:

Husham Ahmed¹,Hazim Alkawaz Mohammed²³,Saba Tanzila⁴,Rehman Amjad⁵,Saleh Alghamdi Jarallah⁴

Affiliation:

1. Faculty of Computing; Universiti Teknologi; Johor Bahru Malaysia

2. Faculty of Information Sciences & Engineering; Management and Science University; Shah Alam Selangor Malaysia

3. Faculty of Computer Sciences and Mathematics; University of Mosul; Mosul Iraq

4. College of Computer and Information Sciences; Prince Sultan University; Riyadh 11586 Saudi Arabia

5. College of Computer and Information Systems; Al-Yamamah University; Riyadh Saudi Arabia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jemt.22733/fullpdf

Reference37 articles.

1. Texture measures combination for improved meningioma classification of histopathological images;Al-Kadi;Pattern Recognition,2010

2. Improved automatic detection and segmentation of cell nuclei in histopathology images;Al-Kofahi;IEEE International Conference on Biomedical Engineering,2010

3. Value of histopathologic examination of uterine products after first-trimester miscarriage;Alsibiani;BioMed Research International,2014

4. Anari , V. Mahzouni , P. Amirfattahi , R. 2010 1 5

5. Global contrast based salient region detection;Cheng;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

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