Singular value based characterization and analysis of thermal patches for early breast abnormality detection
Tóm tắt
Từ khóa
Tài liệu tham khảo
Statistics of Breast Cancer in India. http://www.breastcancerindia.net/statistics/trends.html . Accessed 30 Aug 2017
Ng EYK (2009) A review of thermography as promising non-invasive detection modality for breast tumor. Int J Therm Sci 48(5):849–859
Gogoi UR, Majumdar G, Bhowmik MK, Ghosh AK, Bhattacharjee D, Breast abnormality detection through statistical feature analysis using infrared thermograms. In: Proceeding of IEEE international symposium on advanced computing and communication (ISACC), 2015, pp 258–265
Lahiri BB, Bagavathiappan S, Jayakumar T, Philip J (2012) Medical applications of infrared thermography: a review. Infrared Phys Technol 55(4):221–235
Schaefer G, Závišek M, Nakashima T (2009) Thermography based breast cancer analysis using statistical features and fuzzy classification. Pattern Recogn 42(6):1133–1137
Faria FAC, Cano SP, Gomez-Carmona PM, Sillero M, Neiva CM (2012) Infrared thermography to quantify the risk of breast cancer. Bioimages 20(0):1–7
Uematsu S (1985) Symmetry of skin temperature comparing one side of the body to the other. Thermology 1(1):4–7
Kwok J, Krzyspiak J (2007) Thermal imaging and analysis for breast tumor detection. Computer-aided engineering: applications to biomedical processes, BEE 453
Rastgar-Jazi M, Mohammadi F (2017) Parameters sensitivity assessment and heat source localization using infrared imaging techniques. Biomed Eng Online 16(1):113
Qi H, Snyder WE, Head JF, Elliott RL (2000) Detecting breast cancer from infrared images by asymmetry analysis. In: Proceedings of the 22nd IEEE annual international conference of the IEEE Engineering in Medicine and Biology Society, vol 2, pp 1227–1228
Borchartt TB, Conci A, Lima RCF, Resmini R, Sanchez A (2013) Breast thermography from an image processing viewpoint: a survey. Signal Process 93(10):2785–2803
Gogoi UR, Bhowmik MK, Bhattacharjee D, Ghosh AK, Majumdar G (2016) A study and analysis of hybrid intelligent techniques for breast cancer detection using breast thermograms. In: Bhattacharyya S, Dutta P, Chakraborty S (eds) Hybrid soft computing approaches. Springer, New Delhi, pp 329–359
Bhowmik MK, Gogoi UR, Majumdar G, Datta D, Ghosh AK, Bhattacharjee D (2018) Designing of ground truth annotated DBT-TU-JU breast thermogram database towards early abnormality prediction. IEEE J Biomed Health Inform (JBHI) 22(4):1238–1249
Silva LF, Saade DCM, Sequeiros-Olivera Silva GO, Paiva AC, Bravo RS, Conci A (2014) A new database for breast research with infrared image. J Med Imaging Health Inform 4(1):92–100 9
Ng EYK, Kee EC (2007) Integrative computer-aided diagnostic with breast thermogram. J Mech Med Biol 7(01):1–10
Mookiah MRK, Acharya UR, Ng EYK (2012) Data mining technique for breast cancer detection in thermograms using hybrid feature extraction strategy. Quant Infrared Thermogr J 9(2):151–165
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):1503–1510
Francis SV, Sasikala M (2013) Automatic detection of abnormal breast thermograms using asymmetry analysis of texture features. J Med Eng Technol 37(1):17–21
Francis SV, Sasikala M, Bharathi GB, Jaipurkar SD (2014) Breast cancer detection in rotational thermography images using texture features. Infrared Phys Technol 67:490–496
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
Araújo MC, Lima RC, De Souza RM (2014) Interval symbolic feature extraction for thermography breast cancer detection. Expert Syst Appl 41(15):6728–6737
Garduño-Ramón MA, Vega-Mancilla SG, Morales-Henández LA, Osornio-Rios RA (2017) Supportive noninvasive tool for the diagnosis of breast cancer using a thermographic camera as sensor. Sensors 17(3):497
Gaber T, Ismail G, Anter A, Soliman M, Ali M, Semary N, Snasel V (2015) Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm. In: 37th IEEE annual international conference in Engineering in Medicine and Biology Society (EMBC), pp 4254–4257
Zadeh HG, Haddadnia J, Hashemian M, Hassanpour K (2012) Diagnosis of breast cancerusing a combination of genetic algorithm and artificial neural network in medical infrared thermal imaging. Iran J Med Phys 9(4):265–274
Sathish D, Kamath S, Prasad K, Kadavigere R, Martis RJ (2017) Asymmetry analysis of breast thermograms using automated segmentation and texture features. Signal Image Video Process 11(4):745–752
Borchartt TB, Resmini R, Conci A, Martins A, Silva AC, Diniz EM, Lima RC (2011) Thermal feature analysis to aid on breast disease diagnosis. In: Proceedings of 21st Brazilian Congress of Mechanical Engineering—COBEM2011, pp 24–28
Lashkari A, Pak F, Firouzmand M (2016) Full intelligent cancer classification of thermal breast images to assist physician in clinical diagnostic applications. J Med Signals Sens 6(1):12
Suganthi SS, Ramakrishnan S (2014) Semi-automatic segmentation of breast thermograms using variational level set method. In: Proceedings of 15th international conference on biomedical engineering, Springer International Publishing, Singapore, pp 231–234
Studio encoding parameters of digital television for standard 4:3 and wide screen 16:9 aspect ratios. Recommendation ITU-R BT.601-7, 2011
Luo H, Lin D, Yu C, Chen L (2013) Application of different HSI color models to detect fire-damaged mortar. Int J Transp Sci Technology 2(4):303–316
Gonzalez RC, Woods RF (1992) Digital image processing. Addison Wesley, Reading
Matrix Norms. http://fourier.eng.hmc.edu/e161/lectures/algebra/node12.html . Accessed 11 April 2018
Petersen KB, Pedersen MS (2008) The matrix cookbook, vol. 7, no. 15. Technical University of Denmark, Kongens Lyngby, pp 510
Matrix Norms and Condition Numbers. http://faculty.nps.edu/rgera/MA3042/2009/ch7.4.pdf . Accessed 11 April 2018
Veisi H, Jamzad M (2009) A complexity-based approach in image compression using neural networks. Int J Signal Process 5(2):82–92
Yu H, Stefan W (2013) Image complexity and spatial information. In: Quality of Multimedia Experience (QoMEX), fifth international workshop on Klagenfurt am Wörthersee, IEEE, pp 12–17
Backes AR, Bruno OM (2010) Medical image retrieval based on complexity analysis. Mach Vision Appl 21(3):217–227
Falconer K (2004) Fractal geometry: mathematical foundations and applications. Wiley, New York
Fisher RA (1934) Statistical methods for research workers, 13th edn. Hafner, New York
Gogoi UR, Bhowmik MK, Ghosh AK, Bhattacharjee D, Majumdar G (2017) Discriminative feature selection for breast abnormality detection and accurate classification of thermograms. In: Proceeding of IEEE international conference on innovations in electronics, signal processing and communication (IESC), pp 39–44
Karimollah HT (2013) Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J Intern Med 4(2):627–635