{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T02:59:55Z","timestamp":1773284395507,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319104034","type":"print"},{"value":"9783319104041","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-10404-1_65","type":"book-chapter","created":{"date-parts":[[2014,8,31]],"date-time":"2014-08-31T16:21:17Z","timestamp":1409502077000},"page":"520-527","source":"Crossref","is-referenced-by-count":277,"title":["A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations"],"prefix":"10.1007","author":[{"given":"Holger R.","family":"Roth","sequence":"first","affiliation":[]},{"given":"Le","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Ari","family":"Seff","sequence":"additional","affiliation":[]},{"given":"Kevin M.","family":"Cherry","sequence":"additional","affiliation":[]},{"given":"Joanne","family":"Hoffman","sequence":"additional","affiliation":[]},{"given":"Shijun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jiamin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Evrim","family":"Turkbey","sequence":"additional","affiliation":[]},{"given":"Ronald M.","family":"Summers","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"65_CR1","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1093\/jnci\/92.3.205","volume":"92","author":"P. Therasse","year":"2000","unstructured":"Therasse, P., Arbuck, S.G., Eisenhauer, E.A., Wanders, J., Kaplan, R.S., Rubinstein, L., Verweij, J., Van Glabbeke, M., van Oosterom, A.T., Christian, M.C., et al.: New guidelines to evaluate the response to treatment in solid tumors. JNCI\u00a092(3), 205\u2013216 (2000)","journal-title":"JNCI"},{"issue":"2","key":"65_CR2","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/TMI.2011.2168234","volume":"31","author":"A. Barbu","year":"2012","unstructured":"Barbu, A., Suehling, M., Xu, X., Liu, D., Zhou, S.K., Comaniciu, D.: Automatic detection and segmentation of lymph nodes from CT data. IEEE Transactions on Medical Imaging\u00a031(2), 240\u2013250 (2012)","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"65_CR3","first-page":"254","volume":"17","author":"J. Feulner","year":"2013","unstructured":"Feulner, J., Kevin Zhou, S., Hammon, M., Hornegger, J., Comaniciu, D.: Lymph node detection and segmentation in chest ct data using discriminative learning and a spatial prior. MedIA\u00a017(2), 254\u2013270 (2013)","journal-title":"MedIA"},{"key":"65_CR4","doi-asserted-by":"crossref","unstructured":"Feuerstein, M., Deguchi, D., Kitasaka, T., Iwano, S., Imaizumi, K., Hasegawa, Y., Suenaga, Y., Mori, K.: Automatic mediastinal lymph node detection in chest CT. SPIE Med. Imag., 72600V\u201372600V (2009)","DOI":"10.1117\/12.811101"},{"key":"65_CR5","doi-asserted-by":"crossref","unstructured":"Feuerstein, M., Glocker, B., Kitasaka, T., Nakamura, Y., Iwano, S., Mori, K.: Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes. MedIA\u00a016(1), 63\u201374 (2012)","DOI":"10.1016\/j.media.2011.05.005"},{"key":"65_CR6","doi-asserted-by":"crossref","unstructured":"Nakamura, Y., Nimura, Y., Kitasaka, T., Mizuno, S., Furukawa, K., Goto, H., Fujiwara, M., Misawa, K., Ito, M., Nawano, S., et al.: Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images. SPIE Med. Imag., 86701K (2013)","DOI":"10.1117\/12.2008282"},{"key":"65_CR7","doi-asserted-by":"crossref","unstructured":"Liu, J., Zhao, J., Hoffman, J., Yao, J., Zhang, W., Turkbey, E.B., Wang, S., Kim, C., Summers, R.M.: Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. SPIE Med. Imag., 90350M\u201390350M (2014)","DOI":"10.1117\/12.2043737"},{"key":"65_CR8","doi-asserted-by":"crossref","unstructured":"Cherry, K.M., Wang, S., Turkbey, E.B., Summers, R.M.: Abdominal lymphadenopathy detection using random forest. SPIE Med. Imag., 90351G\u201390351G (2014)","DOI":"10.1117\/12.2043837"},{"key":"65_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1106\u20131114 (2012)"},{"key":"65_CR10","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional neural networks. arXiv:1311.2901 (2013)","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"65_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1007\/978-3-642-40763-5_31","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"A. Prasoon","year":"2013","unstructured":"Prasoon, A., Petersen, K., Igel, C., Lauze, F., Dam, E., Nielsen, M.: Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. LNCS, vol.\u00a08150, pp. 246\u2013253. Springer, Heidelberg (2013)"},{"key":"65_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/978-3-642-40763-5_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"D.C. Cire\u015fan","year":"2013","unstructured":"Cire\u015fan, D.C., Giusti, A., Gambardella, L.M., Schmidhuber, J.: Mitosis detection in breast cancer histology images with deep neural networks. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. LNCS, vol.\u00a08150, pp. 411\u2013418. Springer, Heidelberg (2013)"},{"issue":"2","key":"65_CR13","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1162\/neco.2009.10-08-881","volume":"22","author":"S.C. Turaga","year":"2010","unstructured":"Turaga, S.C., Murray, J.F., Jain, V., Roth, F., Helmstaedter, M., Briggman, K., Denk, W., Seung, H.S.: Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Computation\u00a022(2), 511\u2013538 (2010)","journal-title":"Neural Computation"},{"key":"65_CR14","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1109\/42.974920","volume":"20","author":"S.B. G\u00f6kt\u00fcrk","year":"2001","unstructured":"G\u00f6kt\u00fcrk, S.B., Tomasi, C., Acar, B., Beaulieu, C.F., Paik, D.S., Jeffrey, R.B., Yee, J., Napel, Y.: A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE Trans. on Med. Imag.\u00a020, 1251\u20131260 (2001)","journal-title":"IEEE Trans. on Med. Imag."},{"key":"65_CR15","unstructured":"Wan, L., Zeiler, M., Zhang, S., Cun, Y.L., Fergus, R.: Regularization of neural networks using dropconnect. In: Proc. Int. Conf. Machine Learning (ICML 2013), pp. 1058\u20131066 (2013)"},{"key":"65_CR16","series-title":"LNCS","first-page":"538","volume-title":"MICCAI 2014","author":"A. Seff","year":"2014","unstructured":"Seff, A., Lu, L., Cherry, K.M., Roth, H., Liu, J., Wang, S., Hoffman, J., Turkbey, E.B., Summers, R.M.: 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol.\u00a08673, pp. 538\u2013545. Springer, Heidelberg (2014)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-10404-1_65","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T12:11:52Z","timestamp":1746360712000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-10404-1_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319104034","9783319104041"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-10404-1_65","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}