An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer
This paper discusses the suitability of reconfigurable computing to speedup medical image classification problems. As an example of the speedup offered by reconfigurable logic, a multispectral computer vision system for automatic diagnosis of prostatic cancer is implemented. Different parallel archi...
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| creator | Tahir, M. A. Bouridane, A. Kurugollu, F. |
| description | This paper discusses the suitability of reconfigurable computing to speedup medical image classification problems. As an example of the speedup offered by reconfigurable logic, a multispectral computer vision system for automatic diagnosis of prostatic cancer is implemented. Different parallel architectures for various steps in automatic diagnosis are proposed and implemented in Field Programmable Gate Arrays (FPGAs). The first step of the algorithm is to compute Grey Level Co-occurrence Matrix (GLCM). The second step involves the normalisation of GLCM. The third step of the algorithm is to compute texture features from the normalised GLCM. The last step is concerned with image classification using linear discriminant analysis (LDA). Finally, the performance of the proposed system is assessed and compared against a microprocessor based solution. The results obtained clearly show that the proposed solution compares favorably. |
| doi_str_mv | 10.1007/978-3-540-30117-2_78 |
| format | Conference Proceeding |
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The last step is concerned with image classification using linear discriminant analysis (LDA). Finally, the performance of the proposed system is assessed and compared against a microprocessor based solution. 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A.</creatorcontrib><creatorcontrib>Bouridane, A.</creatorcontrib><creatorcontrib>Kurugollu, F.</creatorcontrib><title>An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer</title><title>Field Programmable Logic and Application</title><description>This paper discusses the suitability of reconfigurable computing to speedup medical image classification problems. As an example of the speedup offered by reconfigurable logic, a multispectral computer vision system for automatic diagnosis of prostatic cancer is implemented. Different parallel architectures for various steps in automatic diagnosis are proposed and implemented in Field Programmable Gate Arrays (FPGAs). The first step of the algorithm is to compute Grey Level Co-occurrence Matrix (GLCM). The second step involves the normalisation of GLCM. The third step of the algorithm is to compute texture features from the normalised GLCM. The last step is concerned with image classification using linear discriminant analysis (LDA). Finally, the performance of the proposed system is assessed and compared against a microprocessor based solution. The results obtained clearly show that the proposed solution compares favorably.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Field Programmable Gate Array</subject><subject>Integrated circuits</subject><subject>Integrated circuits by function (including memories and processors)</subject><subject>Language processing and microprogramming</subject><subject>Linear Discriminant Analysis</subject><subject>Multispectral Image</subject><subject>Parallel Architecture</subject><subject>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</subject><subject>Software</subject><subject>Texture Feature</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540229896</isbn><isbn>3540229892</isbn><isbn>9783540301172</isbn><isbn>3540301178</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNo9kE1LAzEQhuMXWGr_gYdcPEYzyW4-jnWxVSjYQ8VjyGYTXa2bkqwH_71pKw4MA-88zMCD0DXQW6BU3mmpCCd1RQmnAJIwI9UJmpWYl_CQsVM0AQFAOK_02f-OMa20OEeTQjGiZcUv0SznD1oK6qrmaoJe5wNerJdzfG-z73ATdyk6n3NMOJQe3z1utjbnPvTOjn0ccAx40-f87fHajqNPQ8b9gNcp5rEADjd2cD5doYtgt9nP_uYUvSweNs0jWT0vn5r5ijgm9UigtdRqHWpZUSG0D04IEXjnFHALjgPY0AIHVYP00GmvtFWCt65jHkLX8im6Od7d2ezsNqTyvc9ml_ovm35MsUKloFXh2JHLZTW8-WTaGD-zAWr2lk1RZrgp0szBqNlb5r8NBWn8</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Tahir, M. A.</creator><creator>Bouridane, A.</creator><creator>Kurugollu, F.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer</title><author>Tahir, M. A. ; Bouridane, A. ; Kurugollu, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c279t-1ba0a99f5740669efc666f3dc813a1c311afb1318517e1d9e89a863bcd2e1fdb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Electronics</topic><topic>Exact sciences and technology</topic><topic>Field Programmable Gate Array</topic><topic>Integrated circuits</topic><topic>Integrated circuits by function (including memories and processors)</topic><topic>Language processing and microprogramming</topic><topic>Linear Discriminant Analysis</topic><topic>Multispectral Image</topic><topic>Parallel Architecture</topic><topic>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</topic><topic>Software</topic><topic>Texture Feature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tahir, M. A.</creatorcontrib><creatorcontrib>Bouridane, A.</creatorcontrib><creatorcontrib>Kurugollu, F.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tahir, M. A.</au><au>Bouridane, A.</au><au>Kurugollu, F.</au><au>Platzner, Marco</au><au>Becker, Jürgen</au><au>Vernalde, Serge</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer</atitle><btitle>Field Programmable Logic and Application</btitle><date>2004</date><risdate>2004</risdate><spage>771</spage><epage>780</epage><pages>771-780</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540229896</isbn><isbn>3540229892</isbn><eisbn>9783540301172</eisbn><eisbn>3540301178</eisbn><abstract>This paper discusses the suitability of reconfigurable computing to speedup medical image classification problems. As an example of the speedup offered by reconfigurable logic, a multispectral computer vision system for automatic diagnosis of prostatic cancer is implemented. Different parallel architectures for various steps in automatic diagnosis are proposed and implemented in Field Programmable Gate Arrays (FPGAs). The first step of the algorithm is to compute Grey Level Co-occurrence Matrix (GLCM). The second step involves the normalisation of GLCM. The third step of the algorithm is to compute texture features from the normalised GLCM. The last step is concerned with image classification using linear discriminant analysis (LDA). Finally, the performance of the proposed system is assessed and compared against a microprocessor based solution. The results obtained clearly show that the proposed solution compares favorably.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/978-3-540-30117-2_78</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Field Programmable Logic and Application, 2004, p.771-780 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16107604 |
| source | Springer Books |
| subjects | Applied sciences Computer science control theory systems Electronics Exact sciences and technology Field Programmable Gate Array Integrated circuits Integrated circuits by function (including memories and processors) Language processing and microprogramming Linear Discriminant Analysis Multispectral Image Parallel Architecture Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Software Texture Feature |
| title | An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer |
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