{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T23:01:29Z","timestamp":1729638089182,"version":"3.28.0"},"reference-count":15,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,15]]},"DOI":"10.1117\/12.2512731","type":"proceedings-article","created":{"date-parts":[[2019,3,16]],"date-time":"2019-03-16T09:54:39Z","timestamp":1552730079000},"page":"115","source":"Crossref","is-referenced-by-count":0,"title":["Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image"],"prefix":"10.1117","author":[{"given":"Hong Joo","family":"Lee","sequence":"first","affiliation":[]},{"given":"Hak Gu","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Hyenok","family":"Park","sequence":"additional","affiliation":[]},{"given":"DongKuk","family":"Shin","sequence":"additional","affiliation":[]},{"given":"Yong Man","family":"Ro","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1469-0705.1994.04030220.x"},{"issue":"6","key":"c2","first-page":"1010","article-title":"Prompt diagnosis of ectopic pregnancy in an emergency department setting.","volume":"84","author":"Barnhart","year":"1994","journal-title":"Obstetrics and gynecology"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1016\/0090-8258(90)90287-U"},{"issue":"9","key":"c4","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1158\/1055-9965.1459.13.9","article-title":"Transvaginal ultrasound measurement of endometrial thickness as a biomarker for estrogen exposure","volume":"13","author":"Sit","year":"2004","journal-title":"Cancer Epidemiology and Prevention Biomarkers"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1002\/(ISSN)1097-0096"},{"issue":"6","key":"c6","first-page":"936","article-title":"Ultrasonic thickness of the endometrium correlated to body weight in asymptomatic postmenopausal women.","volume":"82","author":"Andolf","year":"1993","journal-title":"Obstetrics and gynecology"},{"issue":"4","key":"c7","first-page":"663","article-title":"Endometrial thickness as a test for endometrial cancer in women with postmenopausal vaginal bleeding","volume":"99","author":"Tabor","year":"2002","journal-title":"Obstetrics & Gynecology"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0b013e3181e3e7e8"},{"key":"c9","unstructured":"Rangamani, A., Xiong, T., Nair, A., Tran, T. D., and Chin, S. P., \u201cLandmark detection and tracking in ultrasound using a cnn-rnn framework,\u201d"},{"key":"c10","article-title":"Less is more: Simultaneous view classification and landmark detection for abdominal ultrasound images","author":"Xu","year":"2018","journal-title":"arXiv preprint arXiv:1805.10376"},{"key":"c11","first-page":"685","article-title":"Iterative deep convolutional encoder-decoder network for medical image segmentation","volume-title":"2017 39th Annual International Conference of the IEEE","author":"Kim","year":"2017"},{"key":"c12","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume-title":"International Conference on Medical image computing and computer-assisted intervention","author":"Ronneberger","year":"2015"},{"key":"c13","first-page":"1057522","article-title":"Icadx: interpretable computer aided diagnosis of breast masses","volume":"10575","author":"Kim","year":"2018","journal-title":"Medical Imaging 2018: Computer-Aided Diagnosis"},{"issue":"23","key":"c14","doi-asserted-by":"crossref","first-page":"8894","DOI":"10.1088\/1361-6560\/aa93d4","article-title":"Multitask transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms","volume":"62","author":"Samala","year":"2017","journal-title":"Physics in Medicine & Biology"},{"key":"c15","first-page":"2672","article-title":"Generative adversarial nets","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"}],"event":{"name":"Image Processing","start":{"date-parts":[[2019,2,16]]},"location":"San Diego, United States","end":{"date-parts":[[2019,2,21]]}},"container-title":["Medical Imaging 2019: Image Processing"],"original-title":[],"deposited":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T22:16:27Z","timestamp":1663107387000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10949\/2512731\/Region-guided-adversarial-learning-for-anatomical-landmark-detection-in-uterus\/10.1117\/12.2512731.full"}},"subtitle":[],"editor":[{"given":"Elsa D.","family":"Angelini","sequence":"additional","affiliation":[]},{"given":"Bennett A.","family":"Landman","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,3,15]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1117\/12.2512731","relation":{},"subject":[],"published":{"date-parts":[[2019,3,15]]}}}