Breast cancer diagnosis

Redd DC, Feng ZC, Yue KT, Gansler TS (1993) Raman spectroscopic characterization of human breast tissues implications for breast cancer diagnosis. Appl Spectrosc 47 787-791... [Pg.444]

Shafer-Peltier KE, Haka AS, Fitzmaurice M, Crowe J, Myles J, Dasari RR, Feld MS (2002) Raman microspectroscopic model of human breast tissue Implications for breast cancer diagnosis in vivo. J Raman Spectrosc 3 552-563... [Pg.444]

Near-IR spectroscopic tomography is discussed in a paper by Tosteson et al. [156], They extend basic concepts of statistical hypothesis testing and confidence intervals to images generated by this new procedure as used for breast cancer diagnosis. [Pg.166]

Black MH, Giai M> Ponzone R, et al. Serum total and free prostate-specific antigen for breast cancer diagnosis in women. Clin Cancer Res 2000 6 467-73. [Pg.787]

Silverstein MJ, Handel N, Gamagami P, Gierson ED, Furmanski M, Collins AR, Epstein M, Cohlan BF (1992) Breast cancer diagnosis and prognosis in women following augmentation with silicone gel-filled prostheses. Eur J Cancer, 28 635-640. [Pg.311]

Jiang Y, Nishikawa RM, Schmidt RA, et al (1999) Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6 22-33... [Pg.104]

Herranz, M., Ruibal, A. Optical imaging in breast cancer diagnosis the next evolution. Journal of Oncology (2012). Article ID 863747... [Pg.356]

Kyselova, Z., Mechref, Y., Kang, P., et al (2008) Breast cancer diagnosis and prognosis through quantitative measurements of serum glycan profiles. Clin. Chem., 54 (7), 1155-1175. [Pg.427]

National Institute for Health and Clinical Excellence (NICE). CG81. Advanced breast cancer diagnosis and treatment 2009. http // publications.nice.org.ukyadvanced-breast-cancer-cg81. [Pg.746]

The two main imaging methods for breast cancer diagnosis are the mammogram and the ultrasound. [Pg.356]

Chen CJ, Chang RF, Moon WK et al (2006) 2-D ultrasound strain images for breast cancer diagnosis using nonrigid subregion registration. Ultrasound Med Biol 32 837-846... [Pg.369]

In Antigen and antibody molecular engineering in breast cancer diagnosis and treatment (ed. R. L Ceriani), p. 55. Plenum Press, New York. [Pg.65]

K. E. Shafer-Peltier, A. S. Haka, M. Fitzmaurice, J. Crowe, J. Myles, R. R. Dasari, and M. S. Feld, "Raman micro spectroscopic model of human breast tissue implications for breast cancer diagnosis in vivo," Journal of Raman Spectroscopy, vol. 33, pp. 552-563, 2002. [Pg.165]

Eltoukhy, MM, Faye, 1, Samir, BB (2010) Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Computerized Medical Imaging and Graphics 34(4) 269-276... [Pg.343]

R. M. Rangayyan, L. Shen, Y. Shen, J. E. L. Desautels, H. Bryant, T. J. Terry, N. Horeczko and M. S. Rose, "Improvement of Sensitivity of Breast Cancer Diagnosis with Adaptive Neighborhood Contrast Enhancement of Mammograms," IEEE Trans Inf Technol Biomed., vol. 1, pp. 16I-I70, Sept. 1997. [Pg.677]

Bhardwaj, A., Tiwari, A. Breast cancer diagnosis using genetically optimized neural network model. Expert Syst. Appl. 42(10), 4611-4620 (2015)... [Pg.63]

Akay, M.F. Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36(2), 3240-3247 (2009)... [Pg.64]

Pena-Reyes, C.A., Sipper, M. A fuzzy-genetic approach to breast cancer diagnosis. Artif Intell. Med. 17(2), 131-155 (1999)... [Pg.64]

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