{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:24:55Z","timestamp":1760171095639,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030009182"},{"type":"electronic","value":"9783030009199"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","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":[[2018]]},"DOI":"10.1007\/978-3-030-00919-9_19","type":"book-chapter","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T04:24:52Z","timestamp":1537071892000},"page":"161-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images"],"prefix":"10.1007","author":[{"given":"Weixiang","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongchen","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjiang","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiquan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,15]]},"reference":[{"key":"19_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., et al.: TensorFlow: large-scale machine learning on heterogeneous systems. arXiv:1603.04467 (2016). Software available from https:\/\/tensorflow.org"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Cai, J., Lu, L., Xing, F., Yang, L.: Pancreas segmentation in CT and MRI images via domain specific network designing and recurrent neural contextual learning. arXiv:1803.11303 (2018)","DOI":"10.1007\/978-3-030-13969-8_1"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"del Castillo C, F., Warshaw, A.L.: Cystic tumors of the pancreas. Surg. Clin. North Am. 75(5), 1001\u201316 (1995)","DOI":"10.1016\/S0039-6109(16)46742-3"},{"key":"19_CR4","unstructured":"Hussein, S., Chuquicusma, M.M., Kandel, P., Bolan, C.W., Wallace, M.B., Bagci, U.: Supervised and unsupervised tumor characterization in the deep learning era. arXiv:1801.03230 (2018)"},{"issue":"1","key":"19_CR5","doi-asserted-by":"publisher","first-page":"48","DOI":"10.3748\/wjg.15.48","volume":"15","author":"GF Hutchins","year":"2009","unstructured":"Hutchins, G.F., Draganov, P.V.: Cystic neoplasms of the pancreas: a diagnostic challenge. World J. Gastroenterol. 15(1), 48 (2009)","journal-title":"World J. Gastroenterol."},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Kermany, D.S., et al.: Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell 172(5), 1122\u20131131 (2018)","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"19_CR7","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. Computer Science (2014)"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Liu, F., Xie, L., Xia, Y., Fishman, E.K., Yuille, A.L.: Joint shape representation and classification for detecting PDAC. arXiv:1804.10684 (2018)","DOI":"10.1007\/978-3-030-32692-0_25"},{"issue":"4","key":"19_CR9","doi-asserted-by":"publisher","first-page":"324","DOI":"10.4103\/2303-9027.170425","volume":"4","author":"X Lu","year":"2015","unstructured":"Lu, X., Zhang, S., Ma, C., Peng, C., Lv, Y., Zou, X.: The diagnostic value of eus in pancreatic cystic neoplasms compared with CT and MRI. Endosc. Ultrasound 4(4), 324\u2013329 (2015)","journal-title":"Endosc. Ultrasound"},{"key":"19_CR10","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS, pp. 91\u201399 (2015)"},{"key":"19_CR11","unstructured":"Roth, H., et al.: Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. arXiv:1706.07346 (2017)"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. IJCV 115(3), 211\u2013252 (2015)","DOI":"10.1007\/s11263-015-0816-y"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. Computer Science, pp. 2818\u20132826 (2015)","DOI":"10.1109\/CVPR.2016.308"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Xie, L., Fishman, E.K., Yuille, A.L.: Deep supervision for pancreatic cyst segmentation in abdominal CT scans. In: MICCAI, pp. 222\u2013230 (2017)","DOI":"10.1007\/978-3-319-66179-7_26"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Xie, L., Shen, W., Wang, Y., Fishman, E.K., Yuille, A.L.: A fixed-point model for pancreas segmentation in abdominal CT scans. In: MICCAI, pp. 693\u2013701 (2017)","DOI":"10.1007\/978-3-319-66182-7_79"}],"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\/978-3-030-00919-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:31:59Z","timestamp":1710336719000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00919-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009182","9783030009199"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00919-9_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"15 September 2018","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":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mlmi-med2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mlmi2018.web.unc.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}