{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:28:22Z","timestamp":1767140902681,"version":"build-2238731810"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s10772-020-09774-z","type":"journal-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T02:02:56Z","timestamp":1605060176000},"page":"251-258","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automated detection system for texture feature based classification on different image datasets using S-transform"],"prefix":"10.1007","volume":"24","author":[{"given":"O. Homa","family":"Kesav","sequence":"first","affiliation":[]},{"given":"G. K.","family":"Rajini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,11]]},"reference":[{"issue":"1","key":"9774_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5\u201332.","journal-title":"Machine Learning"},{"issue":"20","key":"9774_CR2","doi-asserted-by":"publisher","first-page":"29","DOI":"10.5120\/8159-1943","volume":"51","author":"MJ Christ","year":"2012","unstructured":"Christ, M. J., & Parvathi, R. (2012). Detection of brain tumor using hybrid topology preserving map. International Journal of Computer Applications, 51(20), 29\u201332.","journal-title":"International Journal of Computer Applications"},{"issue":"3","key":"9774_CR3","first-page":"53e6","volume":"4","author":"V Das","year":"2016","unstructured":"Das, V., & Rajan, J. (2016). Techniques for mri brain tumor detection: A survey. International Journal of Information Technology, 4(3), 53e6.","journal-title":"International Journal of Information Technology"},{"issue":"2","key":"9774_CR4","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1109\/TPWRD.2003.809616","volume":"18","author":"P Dash","year":"2003","unstructured":"Dash, P., Panigrahi, B., & Panda, G. (2003). Power quality analysis using s-transform. IEEE Transactions on Power Delivery, 18(2), 406\u2013411.","journal-title":"IEEE Transactions on Power Delivery"},{"issue":"6","key":"9774_CR5","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1007\/s10278-008-9138-8","volume":"22","author":"S Drabycz","year":"2009","unstructured":"Drabycz, S., Stockwell, R. G., & Mitchell, J. R. (2009). Image texture characterization using the discrete orthonormal s-transform. Journal of Digital Imaging, 22(6), 696.","journal-title":"Journal of Digital Imaging"},{"key":"9774_CR6","volume-title":"Pattern classification","author":"RO Duda","year":"2012","unstructured":"Duda, R. O., Hart, P. E., & Stork, D. G. (2012). Pattern classification. New York: Wiley."},{"issue":"3","key":"9774_CR7","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1023\/A:1007578305616","volume":"31","author":"M Eramian","year":"1999","unstructured":"Eramian, M., Schincariol, R., Mansinha, L., & Stockwell, R. (1999). Generation of aquifer heterogeneity maps using two-dimensional spectral texture segmentation techniques. Mathematical Geology, 31(3), 327\u2013348.","journal-title":"Mathematical Geology"},{"issue":"771\u2013780","key":"9774_CR8","first-page":"1612","volume":"14","author":"Y Freund","year":"1999","unstructured":"Freund, Y., Schapire, R., & Abe, N. (1999). A short introduction to boosting. Journal-Japanese Society for Artificial Intelligence, 14(771\u2013780), 1612.","journal-title":"Journal-Japanese Society for Artificial Intelligence"},{"key":"9774_CR9","unstructured":"Freund, Y., Schapire, R.E., et\u00a0al.: Experiments with a new boosting algorithm. In: ICML, vol.\u00a096, pp. 148\u2013156. Citeseer (1996)"},{"issue":"1","key":"9774_CR10","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1002\/mrm.10681","volume":"51","author":"BG Goodyear","year":"2004","unstructured":"Goodyear, B. G., Zhu, H., Brown, R. A., & Mitchell, J. R. (2004). Removal of phase artifacts from FMRI data using a stockwell transform filter improves brain activity detection. Magnetic Resonance in Medicine, 51(1), 16\u201321.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"8","key":"9774_CR11","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1016\/j.mri.2013.05.002","volume":"31","author":"N Gordillo","year":"2013","unstructured":"Gordillo, N., Montseny, E., & Sobrevilla, P. (2013). State of the art survey on MRI brain tumor segmentation. Magnetic Resonance Imaging, 31(8), 1426\u20131438.","journal-title":"Magnetic Resonance Imaging"},{"issue":"12","key":"9774_CR12","first-page":"1","volume":"37","author":"S Jafarpour","year":"2012","unstructured":"Jafarpour, S., Sedghi, Z., & Amirani, M. C. (2012). A robust brain MRI classification with GLCM features. International Journal of Computer Applications, 37(12), 1\u20135.","journal-title":"International Journal of Computer Applications"},{"issue":"4","key":"9774_CR13","doi-asserted-by":"publisher","first-page":"59","DOI":"10.4018\/IJeC.2020100105","volume":"16","author":"GN Jyothi","year":"2020","unstructured":"Jyothi, G. N., Gorantla, A., & Kudithi, T. (2020). Asic implementation of linear equalizer using adaptive fir filter. International Journal of e-Collaboration (IJeC), 16(4), 59\u201371.","journal-title":"International Journal of e-Collaboration (IJeC)"},{"key":"9774_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10772-020-09683-1","volume":"23","author":"GN Jyothi","year":"2020","unstructured":"Jyothi, G. N., Sanapala, K., & Vijayalakshmi, A. (2020). Asic implementation of distributed arithmetic based fir filter using RNS for high speed DSP systems. International Journal of Speech Technology, 23, 1\u20136.","journal-title":"International Journal of Speech Technology"},{"key":"9774_CR15","first-page":"295","volume":"26","author":"G Kaur","year":"2016","unstructured":"Kaur, G., & Rani, J. (2016). MRI brain tumor segmentation methods: A review. Infinite Study, 26, 295\u2013304.","journal-title":"Infinite Study"},{"issue":"3","key":"9774_CR16","first-page":"634","volume":"5","author":"A Kavitha","year":"2016","unstructured":"Kavitha, A., Chitra, L., & Kanaga, R. (2016). Brain tumor segmentation using genetic algorithm with SYM classifier. International Journal of Advanced Research in Electrical, Electronics & Instrumentation Engineering, 5(3), 634\u2013638.","journal-title":"International Journal of Advanced Research in Electrical, Electronics & Instrumentation Engineering"},{"issue":"5","key":"9774_CR17","first-page":"8982","volume":"4","author":"KG Khambhata","year":"2016","unstructured":"Khambhata, K. G., & Panchal, S. R. (2016). Multiclass classification of brain tumor in MR images. he International Journal of Innovative Research in Computer and Communication Engineering, 4(5), 8982\u20138992.","journal-title":"he International Journal of Innovative Research in Computer and Communication Engineering"},{"key":"9774_CR18","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"G Litjens","year":"2017","unstructured":"Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., et al. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60\u201388.","journal-title":"Medical Image Analysis"},{"issue":"3","key":"9774_CR19","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.dcan.2017.10.002","volume":"4","author":"MS Mahdavinejad","year":"2018","unstructured":"Mahdavinejad, M. S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P., & Sheth, A. P. (2018). Machine learning for internet of things data analysis: A survey. Digital Communications and Networks, 4(3), 161\u2013175.","journal-title":"Digital Communications and Networks"},{"issue":"1\u20133","key":"9774_CR20","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/S0378-4371(96)00487-6","volume":"239","author":"L Mansinha","year":"1997","unstructured":"Mansinha, L., Stockwell, R., & Lowe, R. (1997). Pattern analysis with two-dimensional spectral localisation: Applications of two-dimensional s transforms. Physica A, 239(1\u20133), 286\u2013295.","journal-title":"Physica A"},{"key":"9774_CR21","unstructured":"Mohsen, H., El-Dahshan, E., El-Horbaty, E., & Salem, A. (2017). Brain tumor type classification based on support vector machine in magnetic resonance images. Annals Of \u201cDunarea De Jos\u201d University Of Galati, Mathematics, Physics, Theoretical mechanics, Fascicle II, Year IX (XL) (1)"},{"issue":"23","key":"9774_CR22","first-page":"34","volume":"97","author":"AN Pathak","year":"2014","unstructured":"Pathak, A. N., & Sunkaria, R. K. (2014). Multiclass brain tumor classification using SVM. International Journal of Computer Applications, 97(23), 34\u201338.","journal-title":"International Journal of Computer Applications"},{"issue":"5","key":"9774_CR23","doi-asserted-by":"publisher","first-page":"1678","DOI":"10.1137\/S1064827500369803","volume":"24","author":"CR Pinnegar","year":"2003","unstructured":"Pinnegar, C. R., & Mansinha, L. (2003). The bi-gaussian s-transform. SIAM Journal on Scientific Computing, 24(5), 1678\u20131692.","journal-title":"SIAM Journal on Scientific Computing"},{"issue":"1","key":"9774_CR24","doi-asserted-by":"publisher","first-page":"7","DOI":"10.5120\/18036-6883","volume":"103","author":"K Sharma","year":"2014","unstructured":"Sharma, K., Kaur, A., & Gujral, S. (2014). Brain tumor detection based on machine learning algorithms. International Journal of Computer Applications, 103(1), 7\u201311.","journal-title":"International Journal of Computer Applications"},{"issue":"3","key":"9774_CR25","doi-asserted-by":"publisher","first-page":"37","DOI":"10.3390\/sym9030037","volume":"9","author":"MF Siddiqui","year":"2017","unstructured":"Siddiqui, M. F., Mujtaba, G., Reza, A. W., & Shuib, L. (2017). Multi-class disease classification in brain MRIS using a computer-aided diagnostic system. Symmetry, 9(3), 37.","journal-title":"Symmetry"},{"key":"9774_CR26","doi-asserted-by":"crossref","unstructured":"Singh, L., Chetty, G., Sharma, D. (2012). A novel machine learning approach for detecting the brain abnormalities from mri structural images. In: IAPR International Conference on Pattern Recognition in Bioinformatics, pp. 94\u2013105. Springer.","DOI":"10.1007\/978-3-642-34123-6_9"},{"key":"9774_CR27","unstructured":"Suhag, S., Saini, L.M. (2015). Automatic brain tumor detection and classification using svm classifier. In: Proceedings of ISER 2nd international conference, Singapore, pp. 55\u201359"},{"issue":"10","key":"9774_CR28","doi-asserted-by":"publisher","first-page":"2067","DOI":"10.1016\/S0031-3203(00)00162-X","volume":"34","author":"H Yu","year":"2001","unstructured":"Yu, H., & Yang, J. (2001). A direct lDA algorithm for high-dimensional data-with application to face recognition. Pattern Recognition, 34(10), 2067\u20132070.","journal-title":"Pattern Recognition"},{"issue":"6","key":"9774_CR29","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1002\/mrm.22147","volume":"62","author":"EI Zacharaki","year":"2009","unstructured":"Zacharaki, E. I., Wang, S., Chawla, S., Soo Yoo, D., Wolf, R., Melhem, E. R., et al. (2009). Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme. Magnetic Resonance in Medicine, 62(6), 1609\u20131618.","journal-title":"Magnetic Resonance in Medicine"}],"updated-by":[{"DOI":"10.1007\/s10772-024-10083-y","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000}}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09774-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-020-09774-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09774-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T02:24:53Z","timestamp":1706581493000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-020-09774-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,11]]},"references-count":29,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["9774"],"URL":"https:\/\/doi.org\/10.1007\/s10772-020-09774-z","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,11]]},"assertion":[{"value":"17 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2024","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s10772-024-10083-y","URL":"https:\/\/doi.org\/10.1007\/s10772-024-10083-y","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}