{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:01:23Z","timestamp":1725706883625},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.23919\/mva.2017.7986858","type":"proceedings-article","created":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T16:39:39Z","timestamp":1500568779000},"page":"290-293","source":"Crossref","is-referenced-by-count":1,"title":["Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project"],"prefix":"10.23919","author":[{"given":"Mohammad","family":"Eshghi","sequence":"first","affiliation":[]},{"given":"Holger R.","family":"Roth","sequence":"additional","affiliation":[]},{"given":"Masahiro","family":"Oda","sequence":"additional","affiliation":[]},{"given":"Min Suk","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Kensaku","family":"Mori","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","article-title":"Fully convolutional networks for semantic segmentation","author":"Jonathan","year":"2015","journal-title":"CVPR"},{"key":"ref2","article-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs","author":"Chen","year":"2014","journal-title":"CoRR"},{"article-title":"U-net: Convolutional networks for biomedical image segmentation","year":"2015","author":"Olaf","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_21"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_52"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_53"},{"article-title":"Gland instance segmentation by deep multichannel neural networks","year":"2016","author":"Xu","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_9"},{"article-title":"Multi-scale context aggregation by dilated convolutions","year":"2016","author":"Yu","key":"ref12"},{"volume-title":"Overview of the visible korean project","key":"ref13"},{"volume-title":"Vaa3d: A swiss army knife for bioimage visualization & analysis","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"}],"event":{"name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","start":{"date-parts":[[2017,5,8]]},"location":"Nagoya, Japan","end":{"date-parts":[[2017,5,12]]}},"container-title":["2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7981294\/7986754\/07986858.pdf?arnumber=7986858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T19:02:55Z","timestamp":1706036575000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7986858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":15,"URL":"https:\/\/doi.org\/10.23919\/mva.2017.7986858","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}