{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:22:46Z","timestamp":1771680166260,"version":"3.50.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319673882","type":"print"},{"value":"9783319673899","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67389-9_22","type":"book-chapter","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T22:18:37Z","timestamp":1504736317000},"page":"185-193","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images"],"prefix":"10.1007","author":[{"given":"Siqi","family":"Liu","sequence":"first","affiliation":[]},{"given":"Donghao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[]},{"given":"Hanchuan","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Weidong","family":"Cai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,7]]},"reference":[{"key":"22_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., et al.: TensorFlow: large-scale machine learning on heterogeneous distributed systems. arxiv:1603.04467 (2015)"},{"key":"22_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1007\/978-3-642-40811-3_66","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"C Becker","year":"2013","unstructured":"Becker, C., Rigamonti, R., Lepetit, V., Fua, P.: Supervised feature learning for curvilinear structure segmentation. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8149, pp. 526\u2013533. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-40811-3_66"},{"key":"22_CR3","unstructured":"Clevert, D.A., Unterthiner, T., Hochreiter, S.: Fast and accurate deep network learning by exponential linear units (ELUs). arxiv:1511.07289 (2015)"},{"key":"22_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1007\/BFb0056195","volume-title":"Medical Image Computing and Computer-Assisted Interventation \u2014 MICCAI\u201998","author":"AF Frangi","year":"1998","unstructured":"Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A., Delp, S. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130\u2013137. Springer, Heidelberg (1998). doi:10.1007\/BFb0056195"},{"key":"22_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/978-3-319-10470-6_75","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"J Hannink","year":"2014","unstructured":"Hannink, J., Duits, R., Bekkers, E.: Crossing-preserving multi-scale vesselness. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 603\u2013610. Springer, Cham (2014). doi:10.1007\/978-3-319-10470-6_75"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/978-3-540-88693-8_27","volume-title":"Computer Vision \u2013 ECCV 2008","author":"MWK Law","year":"2008","unstructured":"Law, M.W.K., Chung, A.C.S.: Three dimensional curvilinear structure detection using optimally oriented flux. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5305, pp. 368\u2013382. Springer, Heidelberg (2008). doi:10.1007\/978-3-540-88693-8_27"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/978-0-387-45524-2_2","volume-title":"Handbook of Biological Confocal Microscopy","author":"JB Pawley","year":"2006","unstructured":"Pawley, J.B.: Fundamental limits in confocal microscopy. In: Pawley, J.B. (ed.) Handbook of Biological Confocal Microscopy, pp. 20\u201342. Springer, Boston (2006)"},{"issue":"2","key":"22_CR9","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.neuron.2015.06.036","volume":"87","author":"H Peng","year":"2015","unstructured":"Peng, H., Hawrylycz, M., Roskams, J., Hill, S., Spruston, N., Meijering, E., Ascoli, G.A.: BigNeuron: large-scale 3D neuron reconstruction from optical microscopy images. Neuron 87(2), 252\u2013256 (2015)","journal-title":"Neuron"},{"issue":"5","key":"22_CR10","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1109\/TMI.2015.2482920","volume":"35","author":"HR Roth","year":"2016","unstructured":"Roth, H.R., Lu, L., Liu, J., Yao, J., Seff, A., Cherry, K., Kim, L., Summers, R.M.: Improving computer-aided detection using convolutional neural networks and random view aggregation. IEEE Trans. Med. Imaging 35(5), 1170\u20131181 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"22_CR11","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1111\/j.1365-2818.2010.03415.x","volume":"240","author":"IM Sintorn","year":"2010","unstructured":"Sintorn, I.M., Bischof, L., Jackway, P., Haggarty, S., Buckley, M.: Gradient based intensity normalization. J. Microsc. 240(3), 249\u2013258 (2010)","journal-title":"J. Microsc."},{"issue":"7","key":"22_CR12","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TPAMI.2015.2462363","volume":"38","author":"A Sironi","year":"2016","unstructured":"Sironi, A., Turetken, E., Lepetit, V., Fua, P.: Multiscale centerline detection. IEEE Trans. Pattern Anal. Mach. Intell. 38(7), 1327\u20131341 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Machine Learning in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67389-9_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:15:26Z","timestamp":1710267326000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-67389-9_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319673882","9783319673899"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67389-9_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"7 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Machine Learning in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quebec City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mlmi-med2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mlmi2017.web.unc.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}