{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T21:40:09Z","timestamp":1750369209885,"version":"3.41.0"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319608365"},{"type":"electronic","value":"9783319608372"}],"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\/978-3-319-60837-2_3","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T01:13:51Z","timestamp":1498007631000},"page":"25-33","source":"Crossref","is-referenced-by-count":4,"title":["Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis"],"prefix":"10.1007","author":[{"given":"Pradipta","family":"Maji","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"issue":"11","key":"3_CR1","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1109\/TMI.2013.2274804","volume":"32","author":"A Banerjee","year":"2013","unstructured":"Banerjee, A., Maji, P.: Rough sets for bias field correction in MR images using contraharmonic mean and quantitative index. IEEE Trans. Med. Imaging 32(11), 2140\u20132151 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"12","key":"3_CR2","doi-asserted-by":"publisher","first-page":"5764","DOI":"10.1109\/TIP.2015.2488900","volume":"24","author":"A Banerjee","year":"2015","unstructured":"Banerjee, A., Maji, P.: Rough sets and stomped normal distribution for simultaneous segmentation and bias field correction in brain MR images. IEEE Trans. Image Process. 24(12), 5764\u20135776 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1016\/j.asoc.2016.03.010","volume":"46","author":"A Banerjee","year":"2016","unstructured":"Banerjee, A., Maji, P.: Rough-probabilistic clustering and hidden markov random field model for segmentation of HEp-2 cell and brain MR images. Appl. Soft Comput. 46, 558\u2013576 (2016)","journal-title":"Appl. Soft Comput."},{"key":"3_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/11847465_4","volume-title":"Transactions on Rough Sets V","author":"M Borkowski","year":"2006","unstructured":"Borkowski, M., Peters, J.F.: Matching 2D image segments with genetic algorithms and approximation spaces. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. LNCS, vol. 4100, pp. 63\u2013101. Springer, Heidelberg (2006). doi: 10.1007\/11847465_4"},{"doi-asserted-by":"crossref","unstructured":"Hassanien, A.E., Abraham, A., Peters, J.F., Schaefer, G.: An overview of rough-hybrid approaches in image processing. In: Proceedings of the IEEE World Congress on Computational Intelligence, pp. 2135\u20132142 (2008)","key":"3_CR5","DOI":"10.1109\/FUZZY.2008.4630665"},{"issue":"6","key":"3_CR6","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TITB.2009.2017017","volume":"13","author":"AE Hassanien","year":"2009","unstructured":"Hassanien, A.E., Abraham, A., Peters, J.F., Schaefer, G., Henry, C.: Rough sets and near sets in medical imaging: a review. IEEE Trans. Inf. Technol. Biomed. 13(6), 955\u2013968 (2009)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"3_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1007\/3-540-45813-1_73","volume-title":"Rough Sets and Current Trends in Computing","author":"S Hirano","year":"2002","unstructured":"Hirano, S., Tsumoto, S.: Segmentation of medical images based on approximations in rough set theory. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS, vol. 2475, pp. 554\u2013563. Springer, Heidelberg (2002). doi: 10.1007\/3-540-45813-1_73"},{"issue":"1\u20132","key":"3_CR8","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.ijar.2004.11.008","volume":"40","author":"S Hirano","year":"2005","unstructured":"Hirano, S., Tsumoto, S.: Rough representation of a region of interest in medical images. Int. J. Approx. Reason. 40(1\u20132), 23\u201334 (2005)","journal-title":"Int. J. Approx. Reason."},{"doi-asserted-by":"crossref","unstructured":"Jiang, J., Yang, D., Wei, H.: Image segmentation based on rough set theory and neural networks. In: Proceedings of the 5th International Conference on Visual Information Engineering, pp. 361\u2013365 (2008)","key":"3_CR9","DOI":"10.1049\/cp:20080339"},{"issue":"4","key":"3_CR10","doi-asserted-by":"crossref","first-page":"475","DOI":"10.3233\/FUN-2007-80408","volume":"80","author":"P Maji","year":"2007","unstructured":"Maji, P., Pal, S.K.: RFCM: a hybrid clustering algorithm using rough and fuzzy sets. Fundamenta Informaticae 80(4), 475\u2013496 (2007)","journal-title":"Fundamenta Informaticae"},{"issue":"6","key":"3_CR11","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TSMCB.2007.906578","volume":"37","author":"P Maji","year":"2007","unstructured":"Maji, P., Pal, S.K.: Rough Set based generalized fuzzy c-means algorithm and quantitative indices. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 37(6), 1529\u20131540 (2007)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B: Cybern."},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1007\/978-3-540-89876-4_7","volume":"5390","author":"P Maji","year":"2008","unstructured":"Maji, P., Pal, S.K.: Maximum class separability for rough-fuzzy c-means based brain MR image segmentation. LNCS Trans. Rough Sets IX 5390, 114\u2013134 (2008)","journal-title":"LNCS Trans. Rough Sets IX"},{"key":"3_CR13","doi-asserted-by":"publisher","DOI":"10.1002\/9781118119723","volume-title":"Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging","author":"P Maji","year":"2012","unstructured":"Maji, P., Pal, S.K.: Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging. Wiley-IEEE Computer Society Press, New Jersey (2012)"},{"issue":"2","key":"3_CR14","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1109\/TCBB.2012.103","volume":"10","author":"P Maji","year":"2013","unstructured":"Maji, P., Paul, S.: Rough-fuzzy clustering for grouping functionally similar genes from microarray data. IEEE\/ACM Trans. Comput. Biol. Bioinf. 10(2), 286\u2013299 (2013)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"issue":"4","key":"3_CR15","doi-asserted-by":"publisher","first-page":"e0123677","DOI":"10.1371\/journal.pone.0123677","volume":"10","author":"P Maji","year":"2015","unstructured":"Maji, P., Roy, S.: Rough-fuzzy clustering and unsupervised feature selection for wavelet based MR image segmentation. PLoS ONE 10(4), e0123677 (2015). doi: 10.1371\/journal.pone.0123677","journal-title":"PLoS ONE"},{"issue":"1\u20134","key":"3_CR16","doi-asserted-by":"publisher","first-page":"237","DOI":"10.3233\/FI-2015-1293","volume":"142","author":"P Maji","year":"2015","unstructured":"Maji, P., Roy, S.: SoBT-RFW: rough-fuzzy computing and wavelet analysis based automatic brain tumor detection method from MR images. Fundamenta Informaticae 142(1\u20134), 237\u2013267 (2015)","journal-title":"Fundamenta Informaticae"},{"issue":"1","key":"3_CR17","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1117\/1.1629685","volume":"43","author":"CW Mao","year":"2004","unstructured":"Mao, C.W., Liu, S.H., Lin, J.S.: Classification of multispectral images through a rough-fuzzy neural network. Opt. Eng. 43(1), 103\u2013112 (2004)","journal-title":"Opt. Eng."},{"doi-asserted-by":"crossref","unstructured":"Mohabey, A., Ray, A.K.: Rough set theory based segmentation of color images. In: Proceedings of the 19th International Conference of the North American Fuzzy Information Processing Society, pp. 338\u2013342 (2000)","key":"3_CR18","DOI":"10.1109\/NAFIPS.2000.877448"},{"issue":"4","key":"3_CR19","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.patrec.2007.10.026","volume":"29","author":"MM Mushrif","year":"2008","unstructured":"Mushrif, M.M., Ray, A.K.: Color image segmentation: rough-set theoretic approach. Pattern Recogn. Lett. 29(4), 483\u2013493 (2008)","journal-title":"Pattern Recogn. Lett."},{"issue":"11","key":"3_CR20","doi-asserted-by":"publisher","first-page":"2495","DOI":"10.1109\/TGRS.2002.803716","volume":"40","author":"SK Pal","year":"2002","unstructured":"Pal, S.K., Mitra, P.: Multispectral image segmentation using the rough-set-initialized EM algorithm. IEEE Trans. Geosci. Remote Sens. 40(11), 2495\u20132501 (2002)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"16","key":"3_CR21","doi-asserted-by":"publisher","first-page":"2509","DOI":"10.1016\/j.patrec.2005.05.007","volume":"26","author":"SK Pal","year":"2005","unstructured":"Pal, S.K., Shankar, B.U., Mitra, P.: Granular computing, rough entropy and object extraction. Pattern Recogn. Lett. 26(16), 2509\u20132517 (2005)","journal-title":"Pattern Recogn. Lett."},{"key":"3_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3534-4","volume-title":"Rough Sets: Theoretical Aspects of Reasoning about Data","author":"Z Pawlak","year":"1991","unstructured":"Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic, Dordrecht, The Netherlands (1991)"},{"issue":"2","key":"3_CR23","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.ijar.2005.06.015","volume":"41","author":"A Petrosino","year":"2006","unstructured":"Petrosino, A., Salvi, G.: Rough fuzzy set based scale space transforms and their use in image analysis. Int. J. Approx. Reason. 41(2), 212\u2013228 (2006)","journal-title":"Int. J. Approx. Reason."},{"key":"3_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/978-3-319-19941-2_39","volume-title":"Pattern Recognition and Machine Intelligence","author":"S Roy","year":"2015","unstructured":"Roy, S., Maji, P.: A new post-processing method to detect brain tumor using rough-fuzzy clustering. In: Kryszkiewicz, M., Bandyopadhyay, S., Rybinski, H., Pal, S.K. (eds.) PReMI 2015. LNCS, vol. 9124, pp. 407\u2013417. Springer, Cham (2015). doi: 10.1007\/978-3-319-19941-2_39"},{"doi-asserted-by":"crossref","unstructured":"Roy, S., Maji, P.: A simple skull stripping algorithm for brain MRI. In: Proceedings of the 8th International Conference on Advances in Pattern Recognition (ICAPR2015), Kolkata, India, pp. 1\u20136 (2015)","key":"3_CR25","DOI":"10.1109\/ICAPR.2015.7050671"},{"doi-asserted-by":"crossref","unstructured":"Roy, S., Maji, P.: A modified rough-fuzzy clustering algorithm with spatial information for hep-2 cell image segmentation. In: Proceedings of 10th IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), China, pp. 383\u2013388 (2016)","key":"3_CR26","DOI":"10.1109\/BIBM.2016.7822549"},{"key":"3_CR27","first-page":"1","volume":"SMCA\u201317\u201302\u20130196","author":"S Roy","year":"2017","unstructured":"Roy, S., Maji, P.: Partitioning spatially constrained fuzzy approximation spaces for image segmentation. IEEE Trans. Syst. Man Cybern.: Syst. SMCA\u201317\u201302\u20130196, 1\u201314 (2017)","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"key":"3_CR28","first-page":"1","volume":"IJDMB\u2013173484","author":"S Roy","year":"2017","unstructured":"Roy, S., Maji, P.: Rough-fuzzy segmentation of HEp-2 cell indirect immunofluorescence images. Int. J. Data Mining Bioinf. IJDMB\u2013173484, 1\u201320 (2017)","journal-title":"Int. J. Data Mining Bioinf."},{"issue":"1","key":"3_CR29","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TSMCB.2008.2005527","volume":"39","author":"D Sen","year":"2009","unstructured":"Sen, D., Pal, S.K.: Generalized rough sets, entropy, and image ambiguity measures. IEEE Trans. Syst. Man Cybern. - Part B: Cybern. 39(1), 117\u2013128 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. - Part B: Cybern."},{"issue":"1","key":"3_CR30","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.engappai.2003.11.002","volume":"17","author":"D Sinha","year":"2004","unstructured":"Sinha, D., Laplante, P.: A rough set-based approach to handling spatial uncertainty in binary images. Eng. Appl. Artif. Intell. 17(1), 97\u2013110 (2004)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"3_CR31","volume-title":"Fundamentals of Medical Imaging","author":"P Suetens","year":"2002","unstructured":"Suetens, P.: Fundamentals of Medical Imaging. Cambridge University Press, Cambridge (2002)"},{"key":"3_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1007\/11548706_39","volume-title":"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing","author":"S Widz","year":"2005","unstructured":"Widz, S., Revett, K., \u015al\u0119zak, D.: A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts. In: \u015al\u0119zak, D., Yao, J.T., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS, vol. 3642, pp. 372\u2013382. Springer, Heidelberg (2005). doi: 10.1007\/11548706_39"},{"key":"3_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1007\/11590316_122","volume-title":"Pattern Recognition and Machine Intelligence","author":"S Widz","year":"2005","unstructured":"Widz, S., Revett, K., \u015al\u0119zak, D.: A rough set-based magnetic resonance imaging partial volume detection system. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds.) PReMI 2005. LNCS, vol. 3776, pp. 756\u2013761. Springer, Heidelberg (2005). doi: 10.1007\/11590316_122"},{"doi-asserted-by":"crossref","unstructured":"Widz, S., \u015al\u0119zak, D.: Approximation degrees in decision reduct-based MRI segmentation. In: Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, pp. 431\u2013436 (2007)","key":"3_CR34","DOI":"10.1109\/FBIT.2007.42"},{"doi-asserted-by":"crossref","unstructured":"Widz, S., \u015al\u0119zak, D., Revett, K.: Application of rough set based dynamic parameter optimization to MRI segmentation. In: Proceedings of the IEEE Annual Meeting of the Fuzzy Information Processing, vol. 1, pp. 440\u2013445 (2004)","key":"3_CR35","DOI":"10.1109\/NAFIPS.2004.1336323"}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60837-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T21:05:23Z","timestamp":1750367123000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60837-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319608365","9783319608372"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60837-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}