{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:34:24Z","timestamp":1730309664123,"version":"3.28.0"},"reference-count":10,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,2]]},"DOI":"10.1117\/12.2293940","type":"proceedings-article","created":{"date-parts":[[2018,3,2]],"date-time":"2018-03-02T21:42:42Z","timestamp":1520026962000},"page":"101","source":"Crossref","is-referenced-by-count":1,"title":["Multi-class segmentation of neuronal electron microscopy images using deep learning"],"prefix":"10.1117","author":[{"given":"Chirag","family":"Agarwal","sequence":"first","affiliation":[]},{"given":"Nivedita","family":"Khobragade","sequence":"first","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2006.08.010"},{"key":"c2","first-page":"1004","article-title":"Efficient automatic 3d-reconstruction of branching neurons from em data","author":"Funke","year":"2012"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.3389\/fnana.2015.00142"},{"key":"c4","first-page":"6732","article-title":"3d reconstruction of neurons in electron microscopy images","author":"Ensafi","year":"2014"},{"key":"c5","first-page":"2843","article-title":"Deep neural networks segment neuronal membranes in electron microscopy images","author":"Ciresan","year":"2012"},{"key":"c6","first-page":"1612","article-title":"Fusionnet: A deep fully residual convolutional neural network for image segmentation in connectomics","volume":"arXiv","author":"Quan","year":"2016"},{"key":"c7","first-page":"1225","article-title":"Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems","author":"Tschopp","year":"2016"},{"article-title":"Segmented anisotropic sstem dataset of neural tissue","year":"2013","author":"Gerhard","key":"c8"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1000502"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2274388"}],"event":{"name":"Image Processing","start":{"date-parts":[[2018,2,10]]},"location":"Houston, United States","end":{"date-parts":[[2018,2,15]]}},"container-title":["Medical Imaging 2018: Image Processing"],"original-title":[],"deposited":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T22:10:07Z","timestamp":1527113407000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10574\/2293940\/Multi-class-segmentation-of-neuronal-electron-microscopy-images-using-deep\/10.1117\/12.2293940.full"}},"subtitle":[],"editor":[{"given":"Elsa D.","family":"Angelini","sequence":"first","affiliation":[]},{"given":"Bennett A.","family":"Landman","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,3,2]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1117\/12.2293940","relation":{},"subject":[],"published":{"date-parts":[[2018,3,2]]}}}