{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:26:51Z","timestamp":1725902811676},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319609638"},{"type":"electronic","value":"9783319609645"}],"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":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60964-5_80","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T14:28:53Z","timestamp":1498055333000},"page":"922-934","source":"Crossref","is-referenced-by-count":6,"title":["Random Forest-Based Feature Importance for HEp-2 Cell Image Classification"],"prefix":"10.1007","author":[{"given":"Vibha","family":"Gupta","sequence":"first","affiliation":[]},{"given":"Arnav","family":"Bhavsar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"issue":"1","key":"80_CR1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"AL Blum","year":"1997","unstructured":"Blum, A.L., Langley, P.: Selection of relevant features and examples in machine learning. Artif. Intell. 97(1), 245\u2013271 (1997)","journal-title":"Artif. Intell."},{"key":"80_CR2","doi-asserted-by":"crossref","unstructured":"Prasath, V.B.S., Kassim, Y.M., Oraibi, Z.A., Guiriec, J.-B., Hafiane, A., Seetharaman, G., Palaniappan, K.: HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. In: 23th International Conference on Pattern Recognition (ICPR). IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899614"},{"key":"80_CR3","unstructured":"Strandmark, P., Ul\u00e9n, J., Kahl, F.: HEp-2 staining pattern classification. In: 2012 21st International Conference on Pattern Recognition (ICPR), pp. 33\u201336. IEEE (2012)"},{"key":"80_CR4","doi-asserted-by":"crossref","unstructured":"Li, B.H., Zhang, J., Zheng, W.-S.: HEp-2 cells staining patterns classification via wavelet scattering network and random forest. In: 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), pp. 406\u2013410. IEEE (2015)","DOI":"10.1109\/ACPR.2015.7486535"},{"key":"80_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/978-3-319-02267-3_25","volume-title":"Machine Learning in Medical Imaging","author":"P Agrawal","year":"2013","unstructured":"Agrawal, P., Vatsa, M., Singh, R.: HEp-2 cell image classification: a comparative analysis. In: Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K., Wang, F. (eds.) MLMI 2013. LNCS, vol. 8184, pp. 195\u2013202. Springer, Cham (2013). doi: 10.1007\/978-3-319-02267-3_25"},{"key":"80_CR6","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/978-3-642-32826-8_18","volume-title":"Knowledge Technology","author":"K Moorthy","year":"2012","unstructured":"Moorthy, K., Mohamad, M.S.: Random forest for gene selection and microarray data classification. In: Lukose, D., Ahmad, A.R., Suliman, A. (eds.) KTW 2011. CCIS, vol. 295, pp. 174\u2013183. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-32826-8_18"},{"key":"80_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-24571-3_12","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"A Paul","year":"2015","unstructured":"Paul, A., Dey, A., Mukherjee, D.P., Sivaswamy, J., Tourani, V.: Regenerative random forest with automatic feature selection to detect mitosis in histopathological breast cancer images. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9350, pp. 94\u2013102. Springer, Cham (2015). doi: 10.1007\/978-3-319-24571-3_12"},{"key":"80_CR8","doi-asserted-by":"crossref","unstructured":"Nguyen, C., Wang, Y., Nguyen, H.N.: Random forest classifier combined with feature selection for breast cancer diagnosis and prognostic (2013)","DOI":"10.4236\/jbise.2013.65070"},{"key":"80_CR9","doi-asserted-by":"crossref","unstructured":"Hariharan, S., Tirodkar, S., De, S., Bhattacharya, A.: Variable importance and random forest classification using RADARSAT-2 PolSAR data. In: IGARSS, pp. 1210\u20131213 (2014)","DOI":"10.1109\/IGARSS.2014.6946649"},{"issue":"1","key":"80_CR10","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"80_CR11","unstructured":"Strobl, C., Zeileis, A.: Danger: high power!-exploring the statistical properties of a test for random forest variable importance (2008)"},{"key":"80_CR12","unstructured":"Hobson, P., Percannella, G., Vento, M., Wiliem, A.: Competition on cells classification by fluorescent image analysis. In: Proceedings of 20th IEEE International Conference Image Processing (ICIP), pp. 2\u20139 (2013)"},{"issue":"10","key":"80_CR13","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1109\/TMI.2013.2268163","volume":"32","author":"P Foggia","year":"2013","unstructured":"Foggia, P., Percannella, G., Soda, P., Vento, M.: Benchmarking HEp-2 cells classification methods. IEEE Trans. Med. Imaging 32(10), 1878\u20131889 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"80_CR14","doi-asserted-by":"crossref","unstructured":"Gupta, V., Gupta, K., Bhavsar, A., Sao, A.K.: Hierarchical classification of HEp-2 cell images using class-specific features. In: European Workshop on Visual Information Processing (EUVIP 2016). IEEE (2016)","DOI":"10.1109\/EUVIP.2016.7764585"},{"key":"80_CR15","unstructured":"Segal, M.R.: Machine learning benchmarks and random forest regression. Cent. Bioinform. Mol. Biostat. (2004)"},{"issue":"3","key":"80_CR16","first-page":"18","volume":"2","author":"A Liaw","year":"2002","unstructured":"Liaw, A., Wiener, M.: Classification and regression by randomforest. R News 2(3), 18\u201322 (2002)","journal-title":"R News"},{"key":"80_CR17","doi-asserted-by":"crossref","unstructured":"Ensafi, S., Lu, S., Kassim, A.A., Tan, C.L.: A bag of words based approach for classification of HEp-2 cell images. In: 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images (I3A), pp. 29\u201332. IEEE (2014)","DOI":"10.1109\/I3A.2014.12"},{"key":"80_CR18","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.patcog.2015.09.015","volume":"51","author":"S Manivannan","year":"2016","unstructured":"Manivannan, S., Li, W., Akbar, S., Wang, R., Zhang, J., McKenna, S.J.: An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recogn. 51, 12\u201326 (2016)","journal-title":"Pattern Recogn."},{"key":"80_CR19","doi-asserted-by":"crossref","unstructured":"Gao, Z., Wang, L., Zhou, L., Zhang, J.: HEp-2 cell image classification with deep convolutional neural networks (2015)","DOI":"10.1109\/I3A.2014.15"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60964-5_80","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T13:20:25Z","timestamp":1569504025000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60964-5_80"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319609638","9783319609645"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60964-5_80","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}