{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T20:18:46Z","timestamp":1730319526299,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,6,19]],"date-time":"2017-06-19T00:00:00Z","timestamp":1497830400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,6,19]]},"DOI":"10.1145\/3095713.3095731","type":"proceedings-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T12:45:27Z","timestamp":1503924327000},"page":"1-6","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Detection and Classification of Bleeding Region in WCE Images using Color Feature"],"prefix":"10.1145","author":[{"given":"Shipra","family":"Suman","sequence":"first","affiliation":[{"name":"Center of Intelligent Signal &amp; Imaging Research Group (CISIR), Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia"}]},{"given":"Fawnizu Azmadi B.","family":"hussin","sequence":"additional","affiliation":[{"name":"Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia"}]},{"given":"Aamir Saeed","family":"Malik","sequence":"additional","affiliation":[{"name":"Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia"}]},{"given":"Konstantin","family":"Pogorelov","sequence":"additional","affiliation":[{"name":"Simula Research Laboratory, University of Oslo, Norway"}]},{"given":"Michael","family":"Riegler","sequence":"additional","affiliation":[{"name":"Simula Research Laboratory, University of Oslo, Norway"}]},{"given":"Shaiw Hooi","family":"Ho","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Malaya Medical Center, Kuala Lumpur, Malaysia"}]},{"given":"Ida","family":"Hilmi","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Malaya Medical Center, Kuala Lumpur, Malaysia"}]},{"given":"Khean Lee","family":"Goh","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Malaya Medical Center, Kuala Lumpur, Malaysia"}]}],"member":"320","published-online":{"date-parts":[[2017,6,19]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1007\/BF02663326"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1097\/00001610-200201000-00007"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1055\/s-2004-825868"},{"doi-asserted-by":"crossref","unstructured":"P. Iddan G. Meron G. Glukhovsky A. & Swain \"Wireless capsule endoscopy \" Nature vol. 405 no. 417 2000.  P. Iddan G. Meron G. Glukhovsky A. & Swain \"Wireless capsule endoscopy \" Nature vol. 405 no. 417 2000.","key":"e_1_3_2_1_4_1","DOI":"10.1038\/35013140"},{"key":"e_1_3_2_1_5_1","first-page":"325","article-title":"Angermann, Quentin, \"'Smart videocapsule for early diagnosis of colorectal cancer: toward embedded image analysis","year":"2015","unstructured":"Angermann, Quentin, \"'Smart videocapsule for early diagnosis of colorectal cancer: toward embedded image analysis .,'\" in Computational Intelligence in Digital and Network Designs and Applications , 2015 , pp. 325 -- 350 . et al. Angermann, Quentin, \"'Smart videocapsule for early diagnosis of colorectal cancer: toward embedded image analysis.,'\" in Computational Intelligence in Digital and Network Designs and Applications, 2015, pp. 325--350.","journal-title":"Computational Intelligence in Digital and Network Designs and Applications"},{"key":"e_1_3_2_1_6_1","volume-title":"Int. Conf. on Capsule Endoscopy","author":"Francis R. D.","year":"2004","unstructured":"R. D. Francis , \"'Sensitivity and specificity of the red blood identification (RBIS) in video capsule endoscopy.,'\" in 3Rd , Int. Conf. on Capsule Endoscopy , 2004 . R. D. Francis, \"'Sensitivity and specificity of the red blood identification (RBIS) in video capsule endoscopy.,'\" in 3Rd, Int. Conf. on Capsule Endoscopy, 2004."},{"key":"e_1_3_2_1_7_1","first-page":"2526","volume-title":"Real-Time Image Analysis of Capsule Endoscopy for Bleeding Discrimination in Embedded System Platform","author":"Lee Y.","year":"2011","unstructured":"Y. Lee and G. Yoon , \" Real-Time Image Analysis of Capsule Endoscopy for Bleeding Discrimination in Embedded System Platform ,\" pp. 2526 -- 2530 , 2011 . Y. Lee and G. Yoon, \"Real-Time Image Analysis of Capsule Endoscopy for Bleeding Discrimination in Embedded System Platform,\" pp. 2526--2530, 2011."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.3748\/wjg.v18.i31.4169"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1166\/asl.2016.7099"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1109\/JBHI.2013.2257819"},{"key":"e_1_3_2_1_11_1","volume-title":"Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video","author":"Yuan Y.","year":"2015","unstructured":"Y. Yuan , B. Li , and M. Q. Meng , \" Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video ,\" vol. 2194 , no. c, 2015 . Y. Yuan, B. Li, and M. Q. Meng, \"Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video,\" vol. 2194, no. c, 2015."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1145\/1327452.1327492"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1145\/1629175.1629198"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1109\/ICEEICT.2014.6919173"},{"key":"e_1_3_2_1_15_1","volume-title":"A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images A Statistical Feature Based Novel Method to Detect Bleeding in Wireless Capsule Endoscopy Images,\" no","author":"Ghosh T.","year":"2014","unstructured":"T. Ghosh , S. K. Bashar , S. Alam , K. Wahid , and S. A. Fattah , \" A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images A Statistical Feature Based Novel Method to Detect Bleeding in Wireless Capsule Endoscopy Images,\" no . May , 2014 . T. Ghosh, S. K. Bashar, S. Alam, K. Wahid, and S. A. Fattah, \"A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images A Statistical Feature Based Novel Method to Detect Bleeding in Wireless Capsule Endoscopy Images,\" no. May, 2014."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1109\/ICONSIP.2016.7857440"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1007\/978-3-319-26532-2_41"},{"key":"e_1_3_2_1_18_1","first-page":"6643","volume-title":"Proc. IEEE Eng. Med. Biol. Soc.","volume":"2011","author":"Lv G.","year":"2011","unstructured":"G. Lv , G. Yan , and Z. Wang , \" Bleeding detection in wireless capsule endoscopy images based on color invariants and spatial pyramids using support vector machines.,\" Conf . Proc. IEEE Eng. Med. Biol. Soc. , vol. 2011 , pp. 6643 -- 6646 , Jan. 2011 . G. Lv, G. Yan, and Z. Wang, \"Bleeding detection in wireless capsule endoscopy images based on color invariants and spatial pyramids using support vector machines.,\" Conf. Proc. IEEE Eng. Med. Biol. Soc., vol. 2011, pp. 6643--6, Jan. 2011."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/ICINFA.2010.5512218"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1109\/ICIAS.2016.7824091"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/TPAMI.1986.4767851"},{"unstructured":"P. W. Gonzalez Rafael C. \"Image encoding.\" Digital image processing. 1987.  P. W. Gonzalez Rafael C. \"Image encoding.\" Digital image processing. 1987.","key":"e_1_3_2_1_22_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1007\/978-3-319-12643-2_34"},{"unstructured":"S. Zhou X. Song M. A. Siddique J. Xu and P. Zhou \"Bleeding Detection in Wireless Capsule Endoscopy Images Based on Binary Feature Vector.\"  S. Zhou X. Song M. A. Siddique J. Xu and P. Zhou \"Bleeding Detection in Wireless Capsule Endoscopy Images Based on Binary Feature Vector.\"","key":"e_1_3_2_1_24_1"}],"event":{"acronym":"CBMI '17","name":"CBMI '17: International Workshop on Content-Based Multimedia Indexing","location":"Florence Italy"},"container-title":["Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3095713.3095731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T10:47:08Z","timestamp":1673693228000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3095713.3095731"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,19]]},"references-count":24,"alternative-id":["10.1145\/3095713.3095731","10.1145\/3095713"],"URL":"https:\/\/doi.org\/10.1145\/3095713.3095731","relation":{},"subject":[],"published":{"date-parts":[[2017,6,19]]},"assertion":[{"value":"2017-06-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}  <script>parent.window.postMessage('ixistenz.url:https://api.crossref.org/works/10.1145%2F3095713.3095731', '*'); </script> <div id='browserdiffcontainer' style='position: fixed; right: 10px; top: 10vh; min-width: 60px;  border: 1px solid white; background: rgb(251, 189, 0);; opacity: 0.9; font-family: helvetica, arial, sans serif;  font-size: 12px; z-index: 20001; padding-bottom: 20px;'><div onclick="toggle('browserdiffcontainerlist'); return false;" style='background: rgb(151, 89, 0);; color: white; '><strong>&nbsp; <span class='glyphicon glyphicon-minus'></span> NODES</strong></div><div id='browserdiffcontainerlist' style='padding-left: 10px; padding-right: 5px; max-height: 50vh; overflow: auto; '><div><a href='#diffid123' style='color: white;' onClick="parent.window.postMessage('ixistenz.opendiff:123', '*');; return false;" style='text-decoration: none; '>INTERN </a> <a style='color: white;' href='#diffid123'><sup>2</sup></a></div></div></div>
<script>
function toggle( divname ) {
  var x = document.getElementById( divname );
  if (x.style.display === 'none') {
    x.style.display = 'block';
  } else {
    x.style.display = 'none';
  }
} </script>