{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:19:41Z","timestamp":1753881581054,"version":"3.41.2"},"reference-count":32,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T00:00:00Z","timestamp":1638748800000},"content-version":"vor","delay-in-days":339,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2019JJ80105"],"award-info":[{"award-number":["2019JJ80105"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019054","name":"Changsha Science and Technology Project","doi-asserted-by":"publisher","award":["kq2004071"],"award-info":[{"award-number":["kq2004071"]}],"id":[{"id":"10.13039\/501100019054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Colorectal cancer originates from adenomatous polyps. Adenomatous polyps start out as benign, but over time they can become malignant and even lead to complications and death which will spread to adherent and surrounding organs over time, such as lymph nodes, liver, or lungs, eventually leading to complications and death. Factors such as operator\u2019s experience shortage and visual fatigue will directly affect the diagnostic accuracy of colonoscopy. To relieve the pressure on medical imaging personnel, this paper proposed a network model for colonic polyp detection using colonoscopy images. Considering the unnoticeable surface texture of colonic polyps, this paper designed a channel information interaction perception (CIIP) module. Based on this module, an information interaction perception network (IIP\u2010Net) is proposed. In order to improve the accuracy of classification and reduce the cost of calculation, the network used three classifiers for classification: fully connected (FC) structure, global average pooling fully connected (GAP\u2010FC) structure, and convolution global average pooling (C\u2010GAP) structure. We evaluated the performance of IIP\u2010Net by randomly selecting colonoscopy images from a gastroscopy database. The experimental results showed that the overall accuracy of IIP\u2010NET54\u2010GAP\u2010FC module is 99.59%, and the accuracy of colonic polyp is 99.40%. By contrast, our IIP\u2010NET54\u2010GAP\u2010FC performed extremely well.<\/jats:p>","DOI":"10.1155\/2021\/8429899","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T06:06:47Z","timestamp":1638857207000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Medical Image Classification Based on Information Interaction Perception Mechanism"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2298-3429","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3170-6279","authenticated-orcid":false,"given":"Yihui","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5947-0651","authenticated-orcid":false,"given":"Yanhong","family":"Luo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-5405","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,12,6]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1097\/00042737-200202000-00013"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/7602384"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.201123.001"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.200910.001"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.d.191209.001"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.1117\/1.oe.58.4.040901"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00482-3"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2017-314547"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2016.2547947"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/00365521.2018.1501092"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1159\/000481227"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/titb.2003.813794"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0169-2607(02)00007-x"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/11866763_21"},{"key":"e_1_2_8_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2013.2285230"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/18\/7207"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2015.2487997"},{"key":"e_1_2_8_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2017.2664042"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2011.03.012"},{"key":"e_1_2_8_21_2","doi-asserted-by":"crossref","unstructured":"KangJ.andDoraiswamiR. Real-time image processing system for endoscopic applications Proceedings of the Electrical and Computer Engineering 2003. IEEE CCECE 2003. Canadian Conference on IEEE May 2003 Montreal Canada 1469\u20131472.","DOI":"10.1109\/CCECE.2003.1226181"},{"key":"e_1_2_8_22_2","doi-asserted-by":"crossref","unstructured":"HwangS. OhJ. H. TavanapongW. WongJ. andDe GroenP. C. Polyp detection in colonoscopy video using elliptical shape feature Proceedings of the 2007 IEEE International Conference on Image Processing International Immunology September 2007 San Antonio TX USA.","DOI":"10.1109\/ICIP.2007.4379193"},{"key":"e_1_2_8_23_2","article-title":"A comparison of blood vessel features and local binary patterns for colorectal polyp classification","volume":"7260","author":"Gross S.","year":"2009","journal-title":"Medical Imaging: Computer-aided Diagnosis"},{"key":"e_1_2_8_24_2","doi-asserted-by":"crossref","unstructured":"RibeiroE. UhlA. andHafnerM. Colonic polyp classification with convolutional neural networks 39 Proceedings of the 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS) June 2016 Dublin Ireland 253\u2013258.","DOI":"10.1109\/CBMS.2016.39"},{"key":"e_1_2_8_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2015.2487997"},{"key":"e_1_2_8_26_2","unstructured":"LinM. ChenQ. andYanS. Network in network 2014 https:\/\/arxiv.org\/abs\/1312.4400."},{"key":"e_1_2_8_27_2","doi-asserted-by":"crossref","unstructured":"HeK. ZhangX. RenS. andSunJ. Deep residual learning for image recognition Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition June 2016 Las Vegas NV USA 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_2_8_28_2","unstructured":"SimonyanK.andZissermanA. Very deep convolutional networks for large-scale image recognition 2014 https:\/\/arxiv.org\/abs\/1409.1556."},{"key":"e_1_2_8_29_2","doi-asserted-by":"crossref","unstructured":"HuangG. LiuZ. Van Der MattenL. andWeinbergerK. Q. Densely connected convolutional networks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition July 2017 Honolulu HI USA 2261\u20132269.","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_2_8_30_2","doi-asserted-by":"crossref","unstructured":"SzegedyC. LiuW. JiaY. SermanetP. ReedS. AnguelovD. ErhanD. VanhouckeV. andRabinovichA. Going deeper with convolutions Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition June 2015 Boston MA USA 1\u20139.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_2_8_31_2","doi-asserted-by":"crossref","unstructured":"TanM. X. ChenB. PangR. VasudevanV. SandlerM. HowardA. andLeQ. V. MnasNet: platform-aware neural architecture search for mobile Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 2018 Salt Lake City UT USA 2820\u20132828.","DOI":"10.1109\/CVPR.2019.00293"},{"key":"e_1_2_8_32_2","doi-asserted-by":"crossref","unstructured":"HanK. WangY. TianQ. GuoJ. XuC. andXuC. GhostNet: more features from cheap operations Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 2020 Seattle WA USA 1580\u20131589 https:\/\/doi.org\/10.1109\/cvpr42600.2020.00165.","DOI":"10.1109\/CVPR42600.2020.00165"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/8429899.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/8429899.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/8429899","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T10:45:11Z","timestamp":1722941111000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/8429899"}},"subtitle":[],"editor":[{"given":"Bai Yuan","family":"Ding","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/8429899"],"URL":"https:\/\/doi.org\/10.1155\/2021\/8429899","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-10-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-12","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"8429899"}}