{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:51:45Z","timestamp":1761864705842,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,6]]},"DOI":"10.1109\/ccece59415.2024.10667319","type":"proceedings-article","created":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T17:42:46Z","timestamp":1726162966000},"page":"876-880","source":"Crossref","is-referenced-by-count":1,"title":["Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities"],"prefix":"10.1109","author":[{"given":"Vivian","family":"Nguyen","sequence":"first","affiliation":[{"name":"Queen’s University,School of Computing,Kingston,ON,Canada"}]},{"given":"Amoon","family":"Jamzad","sequence":"additional","affiliation":[{"name":"Queen’s University,School of Computing,Kingston,ON,Canada"}]},{"given":"Paul","family":"Wilson","sequence":"additional","affiliation":[{"name":"Queen’s University,School of Computing,Kingston,ON,Canada"}]},{"given":"Mahdi","family":"Gilany","sequence":"additional","affiliation":[{"name":"Queen’s University,School of Computing,Kingston,ON,Canada"}]},{"given":"Purang","family":"Abolmaesumi","sequence":"additional","affiliation":[{"name":"University of British,Department of Electrical and Computer Engineering,Columbia,BC,Canada"}]},{"given":"Michael","family":"Leveridge","sequence":"additional","affiliation":[{"name":"Queen’s University,Department of Urology,Kingston,ON,Canada"}]},{"given":"Robert","family":"Siemens","sequence":"additional","affiliation":[{"name":"Queen’s University,Department of Urology,Kingston,ON,Canada"}]},{"given":"Parvin","family":"Mousavi","sequence":"additional","affiliation":[{"name":"Queen’s University,School of Computing,Kingston,ON,Canada"}]}],"member":"263","reference":[{"issue":"2","key":"ref1","article-title":"Epidemiology of prostate cancer","volume-title":"World Journal of Oncology","volume":"10","author":"Rawla","year":"2019"},{"issue":"17","key":"ref2","article-title":"Prostate cancer review: Genetics, diagnosis, treatment options, and alternative approaches","volume-title":"Molecules","volume":"27","author":"Sekhoacha","year":"2022"},{"issue":"6","key":"ref3","article-title":"Transrectal ultrasound biopsy of the prostate: does it still have a role in prostate cancer diagnosis?","volume-title":"Translational Andrology and Urology","volume":"9","author":"Moe","year":"2019"},{"key":"ref4","first-page":"13","volume-title":"Physical Principles of Ultrasound","author":"Fulgham","year":"2021"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.2214\/ajr.19.22168"},{"issue":"1","key":"ref6","first-page":"78","article-title":"Deep learning for real-time, automatic, and scanner-adapted prostate (zone) segmentation of transrectal ultrasound, for example, magnetic resonance imaging\u2013transrectal ultrasound fusion prostate biopsy","volume-title":"European Urology Focus","volume":"7","author":"van Sloun","year":"2021"},{"key":"ref7","first-page":"223","article-title":"Segmentation of prostate contours for automated diagnosis using ultrasound images: A survey","volume-title":"Journal of Computational Science","volume":"21","author":"Singh","year":"2017"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ISBI52829.2022.9761553"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1002\/mp.14134"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TMI.2019.2913184"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/ICCV51070.2023.00371"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1038\/s41467-024-44824-z"},{"year":"2023","author":"Shaharabany","article-title":"Autosam: Adapting sam to medical images by overloading the prompt encoder","key":"ref13"},{"year":"2023","author":"Cheng","article-title":"Sam-med2d","key":"ref14"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1118\/1.3457710"},{"year":"2019","author":"Houlsby","article-title":"Parameter-efficient transfer learning for nlp","key":"ref16"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/JPROC.2019.2932116"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/WACV56688.2023.00256"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TBME.2010.2094195"}],"event":{"name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","start":{"date-parts":[[2024,8,6]]},"location":"Kingston, ON, Canada","end":{"date-parts":[[2024,8,9]]}},"container-title":["2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10667055\/10667056\/10667319.pdf?arnumber=10667319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T05:20:51Z","timestamp":1726204851000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10667319\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,6]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ccece59415.2024.10667319","relation":{},"subject":[],"published":{"date-parts":[[2024,8,6]]}}}