{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:26Z","timestamp":1750220366428,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T00:00:00Z","timestamp":1607126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,5]]},"DOI":"10.1145\/3451421.3451466","type":"proceedings-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T14:38:41Z","timestamp":1630075121000},"page":"213-218","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic segmentation of prostate cancer based on fusion multi-parameter MRI images"],"prefix":"10.1145","author":[{"given":"Xunan","family":"Huang","sequence":"first","affiliation":[{"name":"Xidian University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Jia","sequence":"additional","affiliation":[{"name":"Xidian University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tangdu Hospital Fourth Military Medical University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael V.","family":"Knopp","sequence":"additional","affiliation":[{"name":"The Ohio State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zarine K.","family":"Shah","sequence":"additional","affiliation":[{"name":"The Ohio State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"#cr-split#-e_1_3_2_1_1_1.1","doi-asserted-by":"crossref","unstructured":"Bolla M Mirimanoff R-O. Prostate cancer: On the road of progress. Asian journal of urology 2019;6:123-4. doi:10.1016\/j.ajur.2019.01.002. 10.1016\/j.ajur.2019.01.002","DOI":"10.1016\/j.ajur.2019.01.002"},{"key":"#cr-split#-e_1_3_2_1_1_1.2","doi-asserted-by":"crossref","unstructured":"Bolla M Mirimanoff R-O. Prostate cancer: On the road of progress. Asian journal of urology 2019;6:123-4. doi:10.1016\/j.ajur.2019.01.002.","DOI":"10.1016\/j.ajur.2019.01.002"},{"key":"#cr-split#-e_1_3_2_1_2_1.1","doi-asserted-by":"crossref","unstructured":"Padhani AR. Dynamic contrast-enhanced MRI in clinical oncology: Current status and future directions. Journal of magnetic resonance imaging : JMRI 2002;16:407-22. doi:10.1002\/jmri.10176. 10.1002\/jmri.10176","DOI":"10.1002\/jmri.10176"},{"key":"#cr-split#-e_1_3_2_1_2_1.2","doi-asserted-by":"crossref","unstructured":"Padhani AR. Dynamic contrast-enhanced MRI in clinical oncology: Current status and future directions. Journal of magnetic resonance imaging : JMRI 2002;16:407-22. doi:10.1002\/jmri.10176.","DOI":"10.1002\/jmri.10176"},{"key":"#cr-split#-e_1_3_2_1_3_1.1","doi-asserted-by":"crossref","unstructured":"Yuan Y Qin W Buyyounouski M Ibragimov B Hancock S Han B Xing L. Prostate cancer classification with multiparametric MRI transfer learning model. Medical physics 2019;46:756-65. doi:10.1002\/mp.13367. 10.1002\/mp.13367","DOI":"10.1002\/mp.13367"},{"key":"#cr-split#-e_1_3_2_1_3_1.2","doi-asserted-by":"crossref","unstructured":"Yuan Y Qin W Buyyounouski M Ibragimov B Hancock S Han B Xing L. Prostate cancer classification with multiparametric MRI transfer learning model. Medical physics 2019;46:756-65. doi:10.1002\/mp.13367.","DOI":"10.1002\/mp.13367"},{"key":"#cr-split#-e_1_3_2_1_4_1.1","doi-asserted-by":"crossref","unstructured":"Iu PP. ESUR prostate MR guidelines. European radiology 2013;23:2320-1. doi:10.1007\/s00330-013-2892-0. 10.1007\/s00330-013-2892-0","DOI":"10.1007\/s00330-013-2892-0"},{"key":"#cr-split#-e_1_3_2_1_4_1.2","doi-asserted-by":"crossref","unstructured":"Iu PP. ESUR prostate MR guidelines. European radiology 2013;23:2320-1. doi:10.1007\/s00330-013-2892-0.","DOI":"10.1007\/s00330-013-2892-0"},{"key":"#cr-split#-e_1_3_2_1_5_1.1","doi-asserted-by":"crossref","unstructured":"Dromain C Boyer B Ferr\u00e9 R Canale S Delaloge S Balleyguier C. Computed-aided diagnosis (CAD) in the detection of breast cancer. European journal of radiology 2013;82:417-23. doi:10.1016\/j.ejrad.2012.03.005. 10.1016\/j.ejrad.2012.03.005","DOI":"10.1016\/j.ejrad.2012.03.005"},{"key":"#cr-split#-e_1_3_2_1_5_1.2","doi-asserted-by":"crossref","unstructured":"Dromain C Boyer B Ferr\u00e9 R Canale S Delaloge S Balleyguier C. Computed-aided diagnosis (CAD) in the detection of breast cancer. European journal of radiology 2013;82:417-23. doi:10.1016\/j.ejrad.2012.03.005.","DOI":"10.1016\/j.ejrad.2012.03.005"},{"key":"#cr-split#-e_1_3_2_1_6_1.1","doi-asserted-by":"crossref","unstructured":"Mazzetti S Giannini V Russo F Regge D. Computer-aided diagnosis of prostate cancer using multi-parametric MRI: Comparison between PUN and Tofts models. Physics in medicine and biology 2018;63:95004. doi:10.1088\/1361-6560\/aab956. 10.1088\/1361-6560","DOI":"10.1088\/1361-6560\/aab956"},{"key":"#cr-split#-e_1_3_2_1_6_1.2","doi-asserted-by":"crossref","unstructured":"Mazzetti S Giannini V Russo F Regge D. Computer-aided diagnosis of prostate cancer using multi-parametric MRI: Comparison between PUN and Tofts models. Physics in medicine and biology 2018;63:95004. doi:10.1088\/1361-6560\/aab956.","DOI":"10.1088\/1361-6560\/aab956"},{"key":"#cr-split#-e_1_3_2_1_7_1.1","doi-asserted-by":"crossref","unstructured":"Lema\u00eetre G Mart\u00ed R Freixenet J Vilanova JC Walker PM Meriaudeau F. Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computers in biology and medicine 2015;60:8-31. doi:10.1016\/j.compbiomed.2015.02.009. 10.1016\/j.compbiomed.2015.02.009","DOI":"10.1016\/j.compbiomed.2015.02.009"},{"key":"#cr-split#-e_1_3_2_1_7_1.2","doi-asserted-by":"crossref","unstructured":"Lema\u00eetre G Mart\u00ed R Freixenet J Vilanova JC Walker PM Meriaudeau F. Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computers in biology and medicine 2015;60:8-31. doi:10.1016\/j.compbiomed.2015.02.009.","DOI":"10.1016\/j.compbiomed.2015.02.009"},{"key":"#cr-split#-e_1_3_2_1_8_1.1","doi-asserted-by":"crossref","unstructured":"Fei B. Computer-aided diagnosis of prostate cancer with MRI. Current opinion in biomedical engineering 2017;3:20-7. doi:10.1016\/j.cobme.2017.09.009. 10.1016\/j.cobme.2017.09.009","DOI":"10.1016\/j.cobme.2017.09.009"},{"key":"#cr-split#-e_1_3_2_1_8_1.2","doi-asserted-by":"crossref","unstructured":"Fei B. Computer-aided diagnosis of prostate cancer with MRI. Current opinion in biomedical engineering 2017;3:20-7. doi:10.1016\/j.cobme.2017.09.009.","DOI":"10.1016\/j.cobme.2017.09.009"},{"key":"#cr-split#-e_1_3_2_1_9_1.1","doi-asserted-by":"crossref","unstructured":"Le MH Chen J Wang L Wang Z Liu W Cheng K-TT Yang X. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks. Physics in medicine and biology 2017;62:6497-514. doi:10.1088\/1361-6560\/aa7731. 10.1088\/1361-6560","DOI":"10.1088\/1361-6560\/aa7731"},{"key":"#cr-split#-e_1_3_2_1_9_1.2","doi-asserted-by":"crossref","unstructured":"Le MH Chen J Wang L Wang Z Liu W Cheng K-TT Yang X. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks. Physics in medicine and biology 2017;62:6497-514. doi:10.1088\/1361-6560\/aa7731.","DOI":"10.1088\/1361-6560\/aa7731"},{"key":"e_1_3_2_1_10_1","volume-title":"Prostate cancer diagnosis using deep learning with 3D multiparametric MRI, in: . SPIE Medical Imaging","author":"Liu S","year":"2017","unstructured":"Liu S , Zheng H , Feng Y , Li W. Prostate cancer diagnosis using deep learning with 3D multiparametric MRI, in: . SPIE Medical Imaging , Orlando, Florida , United States. Saturday 11 February 2017 . SPIE , 2017. p. 1013428. Liu S, Zheng H, Feng Y, Li W. Prostate cancer diagnosis using deep learning with 3D multiparametric MRI, in: . SPIE Medical Imaging, Orlando, Florida, United States. Saturday 11 February 2017. SPIE, 2017. p. 1013428."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2016.03.010"}],"event":{"name":"ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine","acronym":"ISICDM 2020","location":"Shenyang China"},"container-title":["The Fourth International Symposium on Image Computing and Digital Medicine"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451466","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3451421.3451466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:31Z","timestamp":1750191451000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451466"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,5]]},"references-count":20,"alternative-id":["10.1145\/3451421.3451466","10.1145\/3451421"],"URL":"https:\/\/doi.org\/10.1145\/3451421.3451466","relation":{},"subject":[],"published":{"date-parts":[[2020,12,5]]},"assertion":[{"value":"2021-08-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}