{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T16:03:47Z","timestamp":1725897827569},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642335051"},{"type":"electronic","value":"9783642335068"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33506-8_51","type":"book-chapter","created":{"date-parts":[[2012,9,4]],"date-time":"2012-09-04T11:04:23Z","timestamp":1346756663000},"page":"413-421","source":"Crossref","is-referenced-by-count":1,"title":["Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning"],"prefix":"10.1007","author":[{"given":"Su-Yang","family":"An","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan-Yan","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiu-Ping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Wei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"51_CR1","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.1016\/j.acra.2008.02.004","volume":"15","author":"M.N. Prasad","year":"2008","unstructured":"Prasad, M.N., et al.: Automatic Segmentation of LungParenchyma in the Presence of Diseases Based on Curvature of Ribs. Academic Radiology\u00a015, 1173\u20131180 (2008)","journal-title":"Academic Radiology"},{"key":"51_CR2","doi-asserted-by":"publisher","first-page":"4901","DOI":"10.1118\/1.2804720","volume":"34","author":"Bellotti","year":"2007","unstructured":"Bellotti, De Carlo, et al.: A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model. Medical Physics\u00a034, 4901\u20134910 (2007)","journal-title":"Medical Physics"},{"key":"51_CR3","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s10916-008-9230-0","volume":"34","author":"S. Ozekes","year":"2010","unstructured":"Ozekes, S., Osman, O.: Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms. Journal of Medical Systems\u00a034, 185\u2013194 (2010)","journal-title":"Journal of Medical Systems"},{"key":"51_CR4","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1109\/TMI.2009.2033596","volume":"29","author":"W. Chen","year":"2010","unstructured":"Chen, W., Metz, et al.: A Novel Hybrid Linear\/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. Medical Imaging\u00a029, 428\u2013441 (2010)","journal-title":"Medical Imaging"},{"key":"51_CR5","doi-asserted-by":"crossref","unstructured":"Dietterich, T.G., Lathrop, R.H., et al.: Solving the multiple-instance problem with axis-parallel rectangles. Artificial Intelligence (1997)","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"51_CR6","first-page":"570","volume-title":"Adv. Neural Inf. Process. Syst.","author":"O. Maron","year":"1998","unstructured":"Maron, O., Lozano-P\u00e9rez, T.: A framework for multiple-instance learning. In: Adv. Neural Inf. Process. Syst., vol.\u00a010, pp. 570\u2013576. MIT Press, Cambridge (1998)"},{"key":"51_CR7","unstructured":"Zhang, Q., Goldman, S.A.: EM-DD: An Improved Multiple-Instance Learning Technique. In: Advances in Neural Information Processing Systems (2002)"},{"key":"51_CR8","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1007\/978-3-540-39857-8_44","volume-title":"Machine Learning: ECML 2003","author":"Z.-H. Zhou","year":"2003","unstructured":"Zhou, Z.-H., Zhang, M.-L.: Ensembles of Multi-instance Learners. In: Lavra\u010d, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS (LNAI), vol.\u00a02837, pp. 492\u2013502. Springer, Heidelberg (2003)"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Zhou, Z.-H., Sun, Y.-Y., et al.: Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples. In: ICML, pp. 1249\u20131256 (2009)","DOI":"10.1145\/1553374.1553534"},{"key":"51_CR10","doi-asserted-by":"crossref","unstructured":"Raykar, V.C., Krishnapuram, B., et al.: Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer. In: Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland (2008)","DOI":"10.1145\/1390156.1390258"},{"key":"51_CR11","first-page":"1609","volume-title":"Advances in Neural Information Processing Systems 19 (NIPS 2006)","author":"Z.-H. Zhou","year":"2007","unstructured":"Zhou, Z.-H., Zhang, M.-L.: Multi-instance multi-label learning with application to scene classification. In: Sch\u00f6lkopf, B., Platt, J.C., Hofmann, T. (eds.) Advances in Neural Information Processing Systems 19 (NIPS 2006), Vancouver, Canada, pp. 1609\u20131616. MIT Press, Cambridge (2007)"},{"key":"51_CR12","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1109\/TMI.2012.2187304","volume":"31","author":"M.T. McKenna","year":"2012","unstructured":"McKenna, M.T., et al.: Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Transactions on Medical Imaging\u00a031, 1141\u20131153 (2012)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"51_CR13","doi-asserted-by":"crossref","unstructured":"Fung, G., Dundar, M., et al.: Multiple Instance Learning for Computer Aided Diagnosis. In: Advances in Neural Information Processing Systems (2007)","DOI":"10.7551\/mitpress\/7503.003.0058"},{"key":"51_CR14","unstructured":"Wu, D., Bi, J., et al.: A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis. In: CVPR (2009)"},{"key":"51_CR15","doi-asserted-by":"crossref","unstructured":"Feng, J., Horace, H.S.: Ip: MistO: A Multi-Resolution deformable Model for segmentation of Soft-Tissue organs. In: International Conference on Image Processing (ICIP), Atlanta, USA, pp. 1909\u20131912 (2006)","DOI":"10.1109\/ICIP.2006.313141"},{"key":"51_CR16","unstructured":"Mohd Saad, N., Abu-Bakar, S.A.R., et al.: Automated Region Growing for Segmentation of Brain Lesion in Diffusion-weighted MRI. In: IMECS, vol.\u00a01 (2012)"},{"key":"51_CR17","first-page":"218","volume":"48","author":"Y. Han","year":"2012","unstructured":"Han, Y., Feng, J., Cui, X., Wang, Q.: Lung nodule detection based on Dynamic Multiple Classifiers Selection ensemble algorithm. Computer Engineering and Applications\u00a048, 218\u2013221 (2012)","journal-title":"Computer Engineering and Applications"},{"key":"51_CR18","volume-title":"Adaptation in Natural and Artificial Systems","author":"J.H. Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems. Univ. Michigan Press, AnnArbor (1975)"},{"key":"51_CR19","unstructured":"Public Lung Image Database, http:\/\/www.via.cornell.edu\/lungdb.html"}],"container-title":["Communications in Computer and Information Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33506-8_51.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T22:31:23Z","timestamp":1714343483000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33506-8_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642335051","9783642335068"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33506-8_51","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2012]]}}}