{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T10:16:57Z","timestamp":1756894617646,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,9]]},"DOI":"10.1109\/iccv.2009.5459243","type":"proceedings-article","created":{"date-parts":[[2010,5,12]],"date-time":"2010-05-12T16:36:14Z","timestamp":1273682174000},"page":"795-802","source":"Crossref","is-referenced-by-count":22,"title":["Automatic ovarian follicle quantification from 3D ultrasound data using global\/local context with database guided segmentation"],"prefix":"10.1109","author":[{"given":"Terrence","family":"Chen","sequence":"first","affiliation":[]},{"family":"Wei Zhang","sequence":"additional","affiliation":[]},{"given":"Sara","family":"Good","sequence":"additional","affiliation":[]},{"given":"Kevin S","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Dorin","family":"Comaniciu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmgm.2006.04.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/42.746626"},{"key":"ref12","first-page":"205","article-title":"Segmentation of ovarian ultrsound images using single template cellular neural networks trained with support vector machines","author":"lenic","year":"2007","journal-title":"CBMS"},{"key":"ref13","article-title":"Hierachical, learning-based automatic liver segmentation","author":"ling","year":"2008","journal-title":"CVPR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.13"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISPA.2000.914907"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2002.1011387"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/uog.5222"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/uog.5359"},{"key":"ref19","article-title":"Prospective cohort study of three- versus two-dimensional ultrasound for prediction of oocyte maturity","author":"shmorgun","year":"2009","journal-title":"Fertil Steril"},{"key":"ref4","first-page":"563","article-title":"Segmentation of ovarian ultrsound images using cellular neural networks","volume":"18","author":"cigale","year":"2004","journal-title":"IJPARI"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587358"},{"key":"ref6","article-title":"Automated assessment of ovarian follicles using a novel three-dimensional ultrasound software","author":"deutch","year":"2008","journal-title":"Fertility and Sterility"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.191"},{"key":"ref7","first-page":"1587","article-title":"3- and 4-dimensional ultrasound in obstetrics and gynecology - proceedings of the american institute of ultrasound in medicine consensus conference","volume":"25","year":"2005","journal-title":"J Ultrasound Med"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.60"},{"key":"ref1","first-page":"105","article-title":"Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images","volume":"1","author":"boykov","year":"2001","journal-title":"ICCV"},{"article-title":"3d ultrsound image analysis in assisted reproduction","year":"2004","author":"gooding","key":"ref9"},{"key":"ref20","article-title":"Graph cut segmentation using an elliptical shape prior","author":"slabaugh","year":"2004","journal-title":"ICIP"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48714-X_5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/3DPVT.2006.70"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408925"},{"key":"ref23","first-page":"1589","article-title":"Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering","author":"tu","year":"2005","journal-title":"I ICCV"}],"event":{"name":"2009 IEEE 12th International Conference on Computer Vision (ICCV)","start":{"date-parts":[[2009,9,29]]},"location":"Kyoto","end":{"date-parts":[[2009,10,2]]}},"container-title":["2009 IEEE 12th International Conference on Computer Vision"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5453389\/5459144\/05459243.pdf?arnumber=5459243","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,18]],"date-time":"2017-03-18T15:03:01Z","timestamp":1489849381000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5459243\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iccv.2009.5459243","relation":{},"subject":[],"published":{"date-parts":[[2009,9]]}}}