{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T22:16:52Z","timestamp":1781129812655,"version":"3.54.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T00:00:00Z","timestamp":1548892800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001411","name":"Indian Council of Medical Research","doi-asserted-by":"publisher","award":["5\/7\/1516\/2016-RCH"],"award-info":[{"award-number":["5\/7\/1516\/2016-RCH"]}],"id":[{"id":"10.13039\/501100001411","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Australas Phys Eng Sci Med"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s13246-019-00726-9","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T07:20:37Z","timestamp":1548919237000},"page":"259-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["2-Stage classification of knee joint thermograms for rheumatoid arthritis prediction in subclinical inflammation"],"prefix":"10.1007","volume":"42","author":[{"given":"Shawli","family":"Bardhan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3451-191X","authenticated-orcid":false,"given":"Mrinal Kanti","family":"Bhowmik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,1,31]]},"reference":[{"key":"726_CR1","volume-title":"Epidemiology of the rheumatic diseases","author":"AJ Silman","year":"2001","unstructured":"Silman AJ, Hochberg MC (2001) Epidemiology of the rheumatic diseases. 2nd\u00a0edn. Oxford University Press, New York","edition":"2"},{"issue":"3","key":"726_CR2","first-page":"115","volume":"3","author":"P Milind","year":"2012","unstructured":"Milind P, Sushila K (2012) How to live with rheumatoid arthritis? Int Res J Pharm 3(3):115\u2013121","journal-title":"Int Res J Pharm"},{"key":"726_CR3","doi-asserted-by":"crossref","unstructured":"Bhowmik MK et al (2016) Pain related inflammation analysis using infrared images. SPIE Commercial\u2009+\u2009Scientific Sensing and Imaging. International Society for Optics and Photonics","DOI":"10.1117\/12.2223425"},{"key":"726_CR4","first-page":"1823","volume":"31","author":"JJ Sacks","year":"2004","unstructured":"Sacks JJ, Helmick CG, Langmaid G (2004) Deaths from arthritis and other rheumatic conditions, United States, 1979\u20131998. J Rheumatol 31:1823\u20131828","journal-title":"J Rheumatol"},{"key":"726_CR5","unstructured":"(2018) Arthritis by the numbers\/book of trusted facts and figures (vol\u00a02, 4100.17.10445). \n                    https:\/\/www.arthritis.org\/Documents\/Sections\/About-Arthritis\/arthritis-facts-stats-figures.pdf\n                    \n                  . Accessed 29 Oct 2018"},{"key":"726_CR6","doi-asserted-by":"publisher","first-page":"81","DOI":"10.2174\/1874312901610010081","volume":"10","author":"VS Sch\u00e4fer","year":"2016","unstructured":"Sch\u00e4fer VS et al (2016) Arthritis of the knee joint in rheumatoid arthritis\u2014evaluation of treatment response by ultrasound in daily clinical practice. Open Rheumatol J 10:81\u201387 (PMC Web)","journal-title":"Open Rheumatol J"},{"key":"726_CR7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1136\/ard.18.1.49","volume":"18","author":"MW Ropes","year":"1959","unstructured":"Ropes MW (1959) Diagnostic criteria for rheumatoid arthritis. Anti Rheum Dis 18:49\u201353","journal-title":"Anti Rheum Dis"},{"key":"726_CR8","doi-asserted-by":"publisher","first-page":"15","DOI":"10.5005\/jp\/books\/11697","volume-title":"Textbook of oral and maxillofacial surgery, Chapter-2 (art of diagnosis)","author":"AM Neelima","year":"2012","unstructured":"Neelima AM (2012) Textbook of oral and maxillofacial surgery, Chapter-2 (art of diagnosis), 3rd edn. Jaypee Brothers Medical Publisher Ltd., Daryaganj, p\u00a015","edition":"3"},{"key":"726_CR9","doi-asserted-by":"crossref","unstructured":"Snekhalatha U, Anburajan M, Teena T, Venkatraman B, Menaka M, Raj B (2012) Thermal image analysis and segmentation of hand in evaluation of rheumatoid arthritis. In: Computer communication and informatics (ICCCI), 2012 international conference, IEEE, pp\u00a01\u20136","DOI":"10.1109\/ICCCI.2012.6158784"},{"key":"726_CR10","unstructured":"Borojevi\u0107 N, Kolari\u0107 D, Grazio S, Grubi\u0161i\u0107 F, Antonini S, Nola IA, Herceg \u017d (2011) Thermography of rheumatoid arthritis and osteoarthritis. In: ELMAR, 2011 proceedings, pp\u00a0293\u2013295, IEEE"},{"key":"726_CR11","doi-asserted-by":"crossref","unstructured":"Frize M, Ad\u00e9a C, Payeur P, Di Primio G, Karsh J, Ogungbemile A (2011) Detection of rheumatoid arthritis using infrared imaging. In: Medical imaging 2011: image processing, vol\u00a07962. International Society for Optics and Photonics, p\u00a079620M","DOI":"10.1117\/12.874552"},{"issue":"3","key":"726_CR12","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1007\/s10916-010-9611-z","volume":"36","author":"UR Acharya","year":"2012","unstructured":"Acharya UR, Ng EYK, Tan JH, Sree SV (2012) Thermography based breast cancer detection using texture features and support vector machine. J Med Syst 36(3):1503\u20131510","journal-title":"J Med Syst"},{"issue":"4","key":"726_CR13","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10916-014-0023-3","volume":"38","author":"SV Francis","year":"2014","unstructured":"Francis SV, Sasikala M, Saranya S (2014) Detection of breast abnormality from thermograms using curvelet transform based feature extraction. J Med Syst 38(4):23","journal-title":"J Med Syst"},{"key":"726_CR14","first-page":"1204","volume":"13","author":"M Milosevic","year":"2014","unstructured":"Milosevic M, Jankovic D, Peulic A (2014) Thermography based breast cancer detection using texture features and minimum variance quantization. EXCLI J 13:1204","journal-title":"EXCLI J"},{"key":"726_CR15","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.ijthermalsci.2013.03.001","volume":"69","author":"M EtehadTavakol","year":"2013","unstructured":"EtehadTavakol M, Chandran V, Ng EYK, Kafieh R (2013) Breast cancer detection from thermal images using bispectral invariant features. Int J Thermal Sci 69:21\u201336","journal-title":"Int J Thermal Sci"},{"key":"726_CR16","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/845015","author":"AM Wood","year":"2013","unstructured":"Wood AM, Brock TM, Heil K, Holmes R, Weusten A (2013) A review on the management of hip and knee osteoarthritis. Int J Chronic Dis. \n                    https:\/\/doi.org\/10.1155\/2013\/845015","journal-title":"Int J Chronic Dis"},{"key":"726_CR17","unstructured":"Informed Health Online [Internet] (2006) Rheumatoid arthritis: Overview. 2013 Oct 23 [Updated 2016 Aug 11]. Institute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany. \n                    https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK384455\/\n                    \n                  . Accessed 18 Jan 2018"},{"key":"726_CR18","unstructured":"\u201cWhat is AiArthritis?\u201d (n.d.) Retrieved 18 January 2018, from\n                    https:\/\/www.aiarthritis.org\/whatisaiarthritis"},{"key":"726_CR19","unstructured":"(2018) \u201dWhat Is Arthritis?\u201d \n                    http:\/\/www.arthritis.org\n                    \n                  . \n                    http:\/\/www.arthritis.org\/about-arthritis\/understanding-arthritis\/what-is-arthritis.php\n                    \n                  . Accessed 18 Jan 2018"},{"key":"726_CR20","doi-asserted-by":"crossref","unstructured":"Araki S, Nomura H, Wakami N (1993) Segmentation of thermal images using the fuzzy c-means algorithm. In: Fuzzy systems, second IEEE international conference on, IEEE, pp\u00a0719\u2013724","DOI":"10.1109\/FUZZY.1993.327400"},{"key":"726_CR21","first-page":"241","volume":"13","author":"N Golestani","year":"2014","unstructured":"Golestani N, Tavakol ME, Ng EYK (2014) Level set method for segmentation of infrared breast thermograms. EXCLI J 13:241","journal-title":"EXCLI J"},{"issue":"4","key":"726_CR22","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1177\/0954411915580809","volume":"229","author":"U Snekhalatha","year":"2015","unstructured":"Snekhalatha U, Anburajan M, Sowmiya V, Venkatraman B, Menaka M (2015) Automated hand thermal image segmentation and feature extraction in the evaluation of rheumatoid arthritis. Proc Inst Mech Eng Part H J Eng Med 229(4):319\u2013331","journal-title":"Proc Inst Mech Eng Part H J Eng Med"},{"key":"726_CR23","doi-asserted-by":"crossref","unstructured":"Shahari S, Wakankar A (2015) Color analysis of thermograms for breast cancer detection. In: Industrial instrumentation and control (ICIC), 2015 international conference on, IEEE, pp\u00a01577\u20131581","DOI":"10.1109\/IIC.2015.7151001"},{"issue":"4","key":"726_CR24","first-page":"107","volume":"120","author":"MS Jadin","year":"2012","unstructured":"Jadin MS, Taib S (2012) Infrared image enhancement and segmentation for extracting the thermal anomalies in electrical equipment. Electron Electr Eng 120(4):107\u2013112","journal-title":"Electron Electr Eng"},{"issue":"6","key":"726_CR25","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MAES.2013.6533739","volume":"28","author":"X Font-Aragon\u00e9s","year":"2013","unstructured":"Font-Aragon\u00e9s X, Fa\u00fandez-Zanuy M, Mekyska J (2013) Thermal hand image segmentation for biometric recognition. IEEE Aerosp Electron Syst Mag 28(6):4\u201314","journal-title":"IEEE Aerosp Electron Syst Mag"},{"key":"726_CR26","doi-asserted-by":"crossref","unstructured":"Dutta T, Sil J, Chottopadhyay P (2016) Condition monitoring of electrical equipment using thermal image processing. In: 2016 IEEE first international conference on control, measurement and instrumentation (CMI), IEEE, pp\u00a0311\u2013315","DOI":"10.1109\/CMI.2016.7413761"},{"key":"726_CR27","doi-asserted-by":"crossref","unstructured":"Selvarasu N, Vivek S, Nandhitha NM (2007) Performance evaluation of image processing algorithms for automatic detection and quantification of abnormality in medical thermograms. In: Conference on computational intelligence and multimedia applications, 2007. international conference on, IEEE, vol\u00a03, pp\u00a0388\u2013393","DOI":"10.1109\/ICCIMA.2007.216"},{"key":"726_CR28","first-page":"461","volume":"3","author":"NM Nandhitha","year":"2007","unstructured":"Nandhitha NM, Sheela Rani B, Kalyana Sundaram P, Venkataraman B, Raj B (2007) Performance evaluation of hot spot extraction and quantification algorithms for online weld monitoring from weld thermographs. 24th Int Symp Autom Robot Construct 3:461\u2013466 (ISBN: 0-7695-3050-8, 13 Dec 2007)","journal-title":"24th Int Symp Autom Robot Construct"},{"issue":"3","key":"726_CR29","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1109\/JSYST.2013.2279415","volume":"8","author":"YM George","year":"2014","unstructured":"George YM et al (2014) Remote computer-aided breast cancer detection and diagnosis system based on cytological images. IEEE Syst J 8(3):949\u2013964. \n                    https:\/\/doi.org\/10.1109\/jsyst.2013.2279415","journal-title":"IEEE Syst J"},{"key":"726_CR30","doi-asserted-by":"publisher","unstructured":"Frize M et al (2009) Preliminary results of severity of illness measures of rheumatoid arthritis using infrared imaging. In: 2009 IEEE international workshop on medical measurements and applications. \n                    https:\/\/doi.org\/10.1109\/memea.2009.5167981","DOI":"10.1109\/memea.2009.5167981"},{"key":"726_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2017.2740500","author":"MK Bhowmik","year":"2017","unstructured":"Bhowmik MK et al (2017) Designing of ground truth annotated DBT-TU-JU breast thermogram database towards early abnormality prediction. IEEE J Biomed Health Inf. \n                    https:\/\/doi.org\/10.1109\/jbhi.2017.2740500","journal-title":"IEEE J Biomed Health Inf"},{"key":"726_CR32","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"6","author":"RM Haralick","year":"1973","unstructured":"Haralick RM et al (1973) Textural features for image classification. IEEE Trans Syst Man Cybern SMC-3 6:610\u2013621. \n                    https:\/\/doi.org\/10.1109\/tsmc.1973.4309314","journal-title":"IEEE Trans Syst Man Cybern SMC-3"},{"key":"726_CR33","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1109\/TSMC.1976.5408777","volume":"4","author":"JS Weszka","year":"1976","unstructured":"Weszka JS et al (1976) A comparative study of texture measures for terrain classification. IEEE Trans Syst Man Cybern SMC-6 4:269\u2013285. \n                    https:\/\/doi.org\/10.1109\/tsmc.1976.5408777","journal-title":"IEEE Trans Syst Man Cybern SMC-6"},{"issue":"5","key":"726_CR34","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1109\/21.44046","volume":"19","author":"M Amadasun","year":"1989","unstructured":"Amadasun M, King R (1989) Textural features corresponding to textural properties. IEEE Trans Syst Man Cybern 19(5):1264\u20131274. \n                    https:\/\/doi.org\/10.1109\/21.44046","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"5","key":"726_CR35","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/1049-9652(92)90025-S","volume":"54","author":"C-M Wu","year":"1992","unstructured":"Wu C-M, Chen Y-C (1992) Statistical feature matrix for texture analysis. CVGIP Graph Models Image Process 54(5):407\u2013419. \n                    https:\/\/doi.org\/10.1016\/1049-9652(92)90025-s","journal-title":"CVGIP Graph Models Image Process"},{"key":"726_CR36","unstructured":"Laws KI (1979) Texture energy measures. In: DARPA image understanding workshop. DARPA, Los Altos, CA, pp\u00a047\u201351"},{"issue":"2","key":"726_CR37","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/42.141636","volume":"11","author":"C-M Wu","year":"1992","unstructured":"Wu C-M et al (1992) Texture features for classification of ultrasonic liver images. IEEE Trans Med Imaging 11(2):141\u2013152. \n                    https:\/\/doi.org\/10.1109\/42.141636","journal-title":"IEEE Trans Med Imaging"},{"issue":"1\u20133","key":"726_CR38","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/A:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon I, Weston J, Barnhill S, Bapnik V (2002) Gene selection for cancer classification using support vector machines. Mach Learn 46(1\u20133):389\u2013422","journal-title":"Mach Learn"},{"issue":"6","key":"726_CR39","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1109\/TPAMI.2007.1093","volume":"29","author":"Y Sun","year":"2007","unstructured":"Sun Y (2007) Iterative RELIEF for feature weighting: algorithms, theories, and applications. IEEE Trans Pattern Anal Mach Intell 29(6):1035\u20131051. \n                    https:\/\/doi.org\/10.1109\/tpami.2007.1093","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"726_CR40","unstructured":"Shafreen Banu K, Hari Ganesh S (2015) A study of feature selection approaches for classification. In: 2015 international conference on innovations in information, embedded and communication systems (ICIIECS), Coimbatore, pp\u00a01\u20134"},{"issue":"23","key":"726_CR41","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1049\/el.2010.2320","volume":"46","author":"DVSX Silva De","year":"2010","unstructured":"De Silva DVSX et al (2010) Adaptive sharpening of depth maps for 3D-TV. Electron Lett 46(23):1546\u20131548","journal-title":"Electron Lett"},{"issue":"4","key":"726_CR42","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1109\/TBME.2012.2227478","volume":"60","author":"A Sadri","year":"2013","unstructured":"Sadri A, Reza et al (2013) Segmentation of dermoscopy images using wavelet networks. IEEE Trans Biomed Eng 60(4):1134\u20131141","journal-title":"IEEE Trans Biomed Eng"},{"key":"726_CR43","doi-asserted-by":"publisher","unstructured":"Bardhan S, Bhowmik MK, Nath S, Bhattacharjee D (2015) A review on inflammatory pain detection in human body through infrared image analysis. In: 2015 international symposium on advanced computing and communication (ISACC) 2015. \n                    https:\/\/doi.org\/10.1109\/isacc.2015.7377350","DOI":"10.1109\/isacc.2015.7377350"},{"key":"726_CR44","first-page":"4","volume":"4","author":"S Ghosh","year":"2013","unstructured":"Ghosh S, Dubey SK (2013) Comparative analysis of K-means and fuzzy c-means algorithms. Int J Adv Comput Sci Appl 4:4","journal-title":"Int J Adv Comput Sci Appl"},{"key":"726_CR45","doi-asserted-by":"crossref","unstructured":"Sthitpattanapongsa P, Srinark T (2011) An equivalent 3D Otsu\u2019s thresholding method. Pacific-Rim symposium on image and video technology. Springer, Berlin","DOI":"10.1007\/978-3-642-25367-6_32"}],"container-title":["Australasian Physical & Engineering Sciences in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13246-019-00726-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00726-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00726-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,30]],"date-time":"2020-01-30T19:23:56Z","timestamp":1580412236000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13246-019-00726-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,31]]},"references-count":45,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["726"],"URL":"https:\/\/doi.org\/10.1007\/s13246-019-00726-9","relation":{},"ISSN":["0158-9938","1879-5447"],"issn-type":[{"value":"0158-9938","type":"print"},{"value":"1879-5447","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,31]]},"assertion":[{"value":"20 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The author declares no potential conflict of interest with respect to the authorship and\/or publication of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The study was approved by the Research cell and Ethics committee of Agartala Government Medical College, Tripura, India with approval Ref. No. 4(6-11)-AGMC\/Medical Education\/Ethics Com.\/2018\/15136, Dated, 31st December, 2018.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}