Enhanced image similarity analysis system in digital pathology
In digital pathology, image similarity algorithms are used to find cancer in tissue cells from medical images. However, it is very difficult to apply image similarity algorithms used in general purpose system. Because in the medical field, accuracy and reliability must be perfect when looking for ca...
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| Published in | Multimedia tools and applications Vol. 76; no. 23; pp. 25477 - 25494 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.12.2017
Springer Nature B.V |
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| Abstract | In digital pathology, image similarity algorithms are used to find cancer in tissue cells from medical images. However, it is very difficult to apply image similarity algorithms used in general purpose system. Because in the medical field, accuracy and reliability must be perfect when looking for cancer cells by using image similarity techniques to pathology images. To cope with this problem, this paper proposes an efficient similar image search algorithm for digital pathology by applying leveling and tiling scheme on OpenSlide format. Furthermore, we apply image sync method to extract feature key points during image similarity processing. In the experiment, to prove the efficiency of the proposed system, we conduct several experiments including algorithm performance, algorithm accuracy and computation time. The experiments result shows that the proposed system efficiently retrieves similar cell images from pathology images. |
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| AbstractList | In digital pathology, image similarity algorithms are used to find cancer in tissue cells from medical images. However, it is very difficult to apply image similarity algorithms used in general purpose system. Because in the medical field, accuracy and reliability must be perfect when looking for cancer cells by using image similarity techniques to pathology images. To cope with this problem, this paper proposes an efficient similar image search algorithm for digital pathology by applying leveling and tiling scheme on OpenSlide format. Furthermore, we apply image sync method to extract feature key points during image similarity processing. In the experiment, to prove the efficiency of the proposed system, we conduct several experiments including algorithm performance, algorithm accuracy and computation time. The experiments result shows that the proposed system efficiently retrieves similar cell images from pathology images. |
| Author | Lee, Jae-Gu Kim, Jeong Won Ko, Young-Woong Choi, Kyung-Chan Yeon, Seung-Ho |
| Author_xml | – sequence: 1 givenname: Jae-Gu surname: Lee fullname: Lee, Jae-Gu organization: Department of Computer Engineering, Hallym University – sequence: 2 givenname: Kyung-Chan surname: Choi fullname: Choi, Kyung-Chan organization: Department of Pathology, Chuncheon Sacred Heart Hospital, Hallym University – sequence: 3 givenname: Seung-Ho surname: Yeon fullname: Yeon, Seung-Ho organization: Department of Computer Engineering, Hallym University – sequence: 4 givenname: Jeong Won surname: Kim fullname: Kim, Jeong Won organization: Department of Pathology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine – sequence: 5 givenname: Young-Woong orcidid: 0000-0002-6292-0799 surname: Ko fullname: Ko, Young-Woong email: yuko@hallym.ac.kr organization: Department of Computer Engineering, Hallym University |
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| Cites_doi | 10.1109/TMM.2011.2159197 10.1109/JBHI.2013.2274798 10.4103/2153-3539.119005 10.1109/TIP.2013.2259841 10.1016/j.neucom.2011.07.024 10.1109/TPAMI.2011.235 10.1109/TITS.2010.2042714 10.1109/TIP.2010.2068553 10.1109/TIFS.2010.2078506 10.1016/j.patrec.2011.01.004 10.1109/IARWISOCI.2014.7034639 10.1109/AVSS.2010.51 10.1109/ICCV.2011.6126544 10.1007/11744023_34 10.1109/CVPR.2011.5995528 10.1109/ICIP.2014.7025467 10.1109/ICIG.2013.131 |
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| Copyright | Springer Science+Business Media New York 2017 Multimedia Tools and Applications is a copyright of Springer, (2017). All Rights Reserved. |
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| Keywords | Leveling Tiling Image sync OpenSlide Image similarity |
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| References | CR2 Jégou (CR5) 2012; 34 CR8 CR19 Kang (CR6) 2011; 13 CR7 CR17 CR15 CR14 Pan (CR10) 2014; 18 CR13 CR12 Zhao (CR18) 2011; 20 Psyllos, Anagnostopoulos, Kayafas (CR11) 2010; 11 Goode (CR4) 2013; 4 Yang (CR16) 2011; 74 Pan, Lyu (CR9) 2010; 5 Chiu (CR1) 2013; 22 Déniz (CR3) 2011; 32 4773_CR8 L-C Chiu (4773_CR1) 2013; 22 H Jégou (4773_CR5) 2012; 34 4773_CR7 AP Psyllos (4773_CR11) 2010; 11 4773_CR19 4773_CR2 H Pan (4773_CR10) 2014; 18 4773_CR17 4773_CR15 A Goode (4773_CR4) 2013; 4 4773_CR14 X Zhao (4773_CR18) 2011; 20 4773_CR13 4773_CR12 X Pan (4773_CR9) 2010; 5 O Déniz (4773_CR3) 2011; 32 H Yang (4773_CR16) 2011; 74 L-W Kang (4773_CR6) 2011; 13 |
| References_xml | – ident: CR19 – ident: CR14 – ident: CR15 – ident: CR2 – volume: 13 start-page: 1019 issue: 5 year: 2011 end-page: 1030 ident: CR6 article-title: Feature-based sparse representation for image similarity assessment publication-title: Multimedia, IEEE Transactions on doi: 10.1109/TMM.2011.2159197 contributor: fullname: Kang – volume: 18 start-page: 574 issue: 2 year: 2014 end-page: 584 ident: CR10 article-title: Brain CT image similarity retrieval method based on uncertain location graph publication-title: Biomedical and Health Informatics, IEEE Journal of doi: 10.1109/JBHI.2013.2274798 contributor: fullname: Pan – ident: CR12 – ident: CR17 – volume: 4 start-page: 27 issue: 1 year: 2013 ident: CR4 article-title: OpenSlide: a vendor-neutral software foundation for digital pathology publication-title: Journal of pathology informatics doi: 10.4103/2153-3539.119005 contributor: fullname: Goode – ident: CR13 – volume: 22 start-page: 3158 issue: 8 year: 2013 end-page: 3167 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| SubjectTerms | Algorithms Cancer Computer Communication Networks Computer Science Data Structures and Information Theory Digital imaging Feature extraction Image enhancement Medical imaging Medical research Multimedia Information Systems Pathology Search algorithms Similarity Special Purpose and Application-Based Systems Tiling |
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| Title | Enhanced image similarity analysis system in digital pathology |
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