{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T02:54:23Z","timestamp":1784256863724,"version":"3.55.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,1,25]],"date-time":"2018-01-25T00:00:00Z","timestamp":1516838400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2014CB748600"],"award-info":[{"award-number":["2014CB748600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Science Fund for Outstanding Young Scholars","award":["61622114"],"award-info":[{"award-number":["61622114"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573219"],"award-info":[{"award-number":["61573219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81371629"],"award-info":[{"award-number":["81371629"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671274"],"award-info":[{"award-number":["61671274"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701281"],"award-info":[{"award-number":["61701281"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2016FQ18"],"award-info":[{"award-number":["ZR2016FQ18"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2017QF009"],"award-info":[{"award-number":["ZR2017QF009"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions","award":["the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions"],"award-info":[{"award-number":["the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61701280"],"award-info":[{"award-number":["61701280"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shandong Provincial Key Research and Development Plan","award":["2017CXGC1504"],"award-info":[{"award-number":["2017CXGC1504"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s00530-017-0582-5","type":"journal-article","created":{"date-parts":[[2018,1,25]],"date-time":"2018-01-25T09:34:00Z","timestamp":1516872840000},"page":"95-102","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior"],"prefix":"10.1007","volume":"25","author":[{"given":"Xiaoming","family":"Xi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianjing","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiushan","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gongping","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yilong","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinjian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,1,25]]},"reference":[{"issue":"5801","key":"582_CR1","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1126\/science.1133807","volume":"314","author":"A Dewan","year":"2006","unstructured":"Dewan, A., Liu, M., Hartman, S., Zhang, S.S., Liu, D.T., Zhao, C., Tam, P.O., Chan, W.M., Lam, D.S., Snyder, M., et al.: HTRA1 promoter polymorphism in wet age-related macular degeneration. Science. 314, 5801, 989\u2013992 (2006)","journal-title":"Science"},{"issue":"13","key":"582_CR2","doi-asserted-by":"publisher","first-page":"8042","DOI":"10.1167\/iovs.12-10083","volume":"53","author":"X Chen","year":"2012","unstructured":"Chen, X., Zhang, L., Sohn, E.H., Lee, K., Niemeijer, M., Chen, J., Sonka, M., Abramoff, M.D.: Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT. Invest. Ophthalmol. Vis. Sci. 53(13), 8042\u20138048 (2012)","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"issue":"8","key":"582_CR3","doi-asserted-by":"publisher","first-page":"1521","DOI":"10.1109\/TMI.2012.2191302","volume":"31","author":"X Chen","year":"2012","unstructured":"Chen, X., Niemeijer, M., Zhang, L., Lee, K., Abr\u00e0moff, M.D., Sonka, M.: 3D segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph\u2013search\u2013graph-cut. IEEE Trans. Med. Imaging. 31(8), 1521\u20131531 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"6","key":"582_CR4","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1016\/j.ophtha.2015.01.029","volume":"122","author":"TE Carlo de","year":"2015","unstructured":"de Carlo, T.E., Bonini Filho, M.A., Chin, A.T., Adhi, M., Ferrara, D., Baumal, C.R., Witkin, A.J., Reichel, E., Duker, J.S., Waheed, N.K.: Spectral-domain optical coherence tomography angiography of choroidal neovascularization. Ophthalmology. 122, 6, 1228\u20131238 (2015)","journal-title":"Ophthalmology"},{"issue":"2","key":"582_CR5","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/TMI.2014.2359980","volume":"34","author":"F Shi","year":"2015","unstructured":"Shi, F., Chen, X., Zhao, H., Zhu, W., Xiang, D., Gao, E., Sonka, M., Chen, H.: Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments. IEEE Trans. Med. Imaging 34, 2, 441\u2013452 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"582_CR6","doi-asserted-by":"publisher","first-page":"3564","DOI":"10.1364\/BOE.6.003564","volume":"6","author":"L Liu","year":"2015","unstructured":"Liu, L., Gao, S.S., Bailey, S.T., Huang, D., Li, D., Jia, Y.: Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography. Biomed. Opt. Express. 6, 9, 3564\u20133576 (2015)","journal-title":"Biomed. Opt. Express."},{"issue":"12","key":"582_CR7","doi-asserted-by":"publisher","first-page":"2524","DOI":"10.1109\/TMI.2016.2582386","volume":"35","author":"J Zhang","year":"2016","unstructured":"Zhang, J., Gao, Y., Gao, Y., Brent, M., Shen, D.: Detecting anatomical landmarks for fast Alzheimer\u2019s disease diagnosis. IEEE Trans. Med. Imaging. 35(12), 2524\u20132533 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"582_CR8","doi-asserted-by":"publisher","first-page":"076010","DOI":"10.1117\/1.JBO.21.7.076010","volume":"21","author":"SS Gao","year":"2016","unstructured":"Gao, S.S., Liu, L., Bailey, S.T., Flaxel, C.J., Huang, D., Li, D., Jia, Y.: Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography. J. Biomed. Opt. 21(7), 076010\u2013076010 (2016)","journal-title":"J. Biomed. Opt"},{"issue":"5","key":"582_CR9","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1109\/TBME.2013.2237906","volume":"60","author":"W Abdelmoula","year":"2013","unstructured":"Abdelmoula, W., Shah, S., Fahmy, A.S.: Segmentation of choroidal neovascularization in fundus fluorescein angiograms. IEEE Trans. Biomed. Eng. 60(5), 1439\u20131445 (2013)","journal-title":"IEEE Trans. Biomed. Eng"},{"issue":"5","key":"582_CR10","doi-asserted-by":"publisher","first-page":"2767","DOI":"10.1167\/iovs.10-6048","volume":"52","author":"CL Tsai","year":"2011","unstructured":"Tsai, C.L., Yang, Y.L., Chen, S.J., Lin, K.S., Chan, C.H., Lin, W.Y.: Automatic characterization of classic choroidal neovascularization by using adaboost for supervised learning. Invest. Ophthalmol. Vis. Sci. 52(5), 2767\u20132774 (2011)","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"issue":"1","key":"582_CR11","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1109\/TMI.2015.2458702","volume":"35","author":"J Xu","year":"2016","unstructured":"Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Tang, J., Madabhushi, A.: Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images. IEEE Trans. Med. Imaging. 35(1), 119\u2013130 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5","key":"582_CR12","doi-asserted-by":"publisher","first-page":"1262","DOI":"10.1109\/TMI.2016.2526687","volume":"35","author":"G Tulder van","year":"2016","unstructured":"van Tulder, G., de Bruijne, M.: Combining generative and discriminative representation learning in convolutional restricted Boltzmann machines. IEEE Trans. Med. Imaging, 35, 5, 1262\u20131272 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5","key":"582_CR13","doi-asserted-by":"publisher","first-page":"1196","DOI":"10.1109\/TMI.2016.2525803","volume":"35","author":"K Sirinukunwattana","year":"2016","unstructured":"Sirinukunwattana, K., Raza, S., Tsang, Y.W., Snead, D., Cree, I., Rajpoot, N.: Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images. IEEE Trans. Med. Imaging. 35(5), 1196\u20131206 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5","key":"582_CR14","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1109\/TMI.2016.2536809","volume":"35","author":"AA Setio","year":"2016","unstructured":"Setio, A.A., Ciompi, F., Litjens, G., Gerke, P., Jacobs, C., van Riel, S., Winkler Wille, M., Naqibullah, M., Sanchez, C., van Ginneken, B.: Pulmonary nodule detection in CT images using multiview convolutional networks. IEEE Trans. Med. Imaging. 35(5), 1160\u20131169 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5","key":"582_CR15","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1109\/TMI.2016.2548501","volume":"35","author":"MA Viergever","year":"2016","unstructured":"Viergever, M.A., Mendrik, A.M., de Vries, L.S., Benders, M.J., Isgum, I.: Automatic segmentation of MR brain images with a convolutional neural network. IEEE Trans. Med. Imaging. 35(5), 1252\u20131261 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"582_CR16","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.neuroimage.2014.12.061","volume":"108","author":"W Zhang","year":"2015","unstructured":"Zhang, W., Li, R., Deng, H., Wang, L., Lin, W., Ji, S., Shen, D.: Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. Neuroimage 108, 214\u2013224 (2015)","journal-title":"Neuroimage"},{"issue":"5","key":"582_CR17","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1109\/TMI.2016.2538802","volume":"35","author":"F Ghesu","year":"2016","unstructured":"Ghesu, F., Krubasik, E., Georgescu, B., Singh, V., Zheng, Y., Hornegger, J., Comaniciu, D.: Marginal space deep learning: efficient architecture for volumetric image parsing. IEEE Trans. Med. Imaging. 35(5), 1217\u20131228 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"582_CR18","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process"},{"issue":"6","key":"582_CR19","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1109\/TMI.2016.2515021","volume":"35","author":"M Liu","year":"2016","unstructured":"Liu, M., Zhang, D., Shen, D.: Relationship induced multi-template learning for diagnosis of Alzheimer\u2019s disease and mild cognitive impairment. IEEE Trans. Med. Imaging. 35(6), 1463\u20131474 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"582_CR20","doi-asserted-by":"publisher","first-page":"1820","DOI":"10.1109\/TBME.2015.2503421","volume":"63","author":"J Zhang","year":"2016","unstructured":"Zhang, J., Gao, Y., Wang, L., Tang, Z., Xia, J.J.: D Shen. Automatic craniomaxillofacial landmark digitization via segmentation-guided partially-joint regression forest model and multi-scale statistical features. IEEE Trans. Biomed. Eng. 63, 9, 1820\u20131829 (2016)","journal-title":"IEEE Trans. Biomed. Eng"},{"key":"582_CR21","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.neucom.2016.09.067","volume":"237","author":"X Xi","year":"2017","unstructured":"Xi, X., Shi, H., Han, L., Wang, T., Ding, H.Y., Zhang, G., Tang, Y., Ying, Y.: Breast tumor segmentation with prior knowledge learning. Neurocomputing 237, 145\u2013149, (2017)","journal-title":"Neurocomputing"},{"issue":"4","key":"582_CR22","doi-asserted-by":"publisher","first-page":"6372","DOI":"10.1118\/1.4868455","volume":"41","author":"L Wang","year":"2014","unstructured":"Wang, L., Chen, K.C., Gao, Y., Shi, F., Liao, S., Li, G., Shen, S.G., Yan, J., Lee, P.K., Chow, B., Liu, N.X., Xia, J.J., Shen, D.: Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization. Med. Phys. 41, 4, 6372\u20136387 (2014)","journal-title":"Med. Phys."},{"issue":"1","key":"582_CR23","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1109\/TCYB.2015.2401733","volume":"46","author":"M Liu","year":"2016","unstructured":"Liu, M., Zhang, D.: Pairwise constraint-guided sparse learning for feature selection. IEEE Trans. Cybern. 46, 1, 298\u2013310, (2016)","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"582_CR24","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.media.2016.11.002","volume":"36","author":"M Liu","year":"2017","unstructured":"Liu, M., Zhang, J., Yap, P.-T., Shen, D.: View-aligned hypergraph learning for Alzheimer\u2019s disease diagnosis with incomplete multi-modality data. Med. Image Anal. 36, 2, 123\u2013134 (2017)","journal-title":"Med. Image Anal."},{"key":"582_CR25","doi-asserted-by":"crossref","unstructured":"Alvarez, J.M., LeCun, Y., Gevers, T., Lopez, A.M.: Semantic road segmentation via multi-scale ensembles of learned features. European conference on computer vision workshop, pp. 586\u2013595 (2012)","DOI":"10.1007\/978-3-642-33868-7_58"},{"key":"582_CR26","doi-asserted-by":"crossref","unstructured":"Yi, D., Lei, Z., Li, S.Z.: Age estimation by multi-scale convolutional network. Asian conference on computer vision, pp. 144\u2013158 (2014)","DOI":"10.1007\/978-3-319-16811-1_10"},{"key":"582_CR27","unstructured":"Jia, Y.C.: An open source convolutional architecture for fast feature embedding. http:\/\/caffe.berkeleyvision.org\/ (2016)"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00530-017-0582-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-017-0582-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-017-0582-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T16:37:15Z","timestamp":1570639035000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00530-017-0582-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,25]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["582"],"URL":"https:\/\/doi.org\/10.1007\/s00530-017-0582-5","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,25]]},"assertion":[{"value":"25 January 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}