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Volumn 37, Issue 3, 2013, Pages

Computer assisted diagnostic system in tumor radiography

Author keywords

Image denoising; Medical image processing; MRI brain; Region growing; Segmentation; Tumor detection

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; BRAIN REGION; BRAIN TUMOR; CALCULATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; GOLD STANDARD; NEUROIMAGING; NOISE REDUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; SIGNAL NOISE RATIO; SKULL; AUTOMATED PATTERN RECOGNITION; COMPUTER SYSTEM; HUMAN; NEOPLASM; REPRODUCIBILITY;

EID: 84874932348     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-013-9938-3     Document Type: Article
Times cited : (12)

References (30)
  • 1
    • 25844489923 scopus 로고    scopus 로고
    • MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural network optimization
    • 10.1109/TITB.2005.847500
    • Shen, S., Sandham, W., Granat, M., and Sterr, A., MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural network optimization. IEEE Trans. Inf. Technol. Biomed. 9(3):459-467, 2005.
    • (2005) IEEE Trans. Inf. Technol. Biomed. , vol.9 , Issue.3 , pp. 459-467
    • Shen, S.1    Sandham, W.2    Granat, M.3    Sterr, A.4
  • 2
    • 84055212035 scopus 로고    scopus 로고
    • A critical review of the effects of denoising algorithms on MRI brain tumor segmentation
    • Boston, Massachusetts, USA
    • Diaz, I., Boulanger, P., Griener, R., and Murtha A., A critical review of the effects of denoising algorithms on MRI brain tumor segmentation. 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, USA, pp. 3934-3937, 2011.
    • (2011) 33rd Annual International Conference of the IEEE EMBS , pp. 3934-3937
    • Diaz, I.1    Boulanger, P.2    Griener, R.3    Murtha, A.4
  • 4
    • 33750239476 scopus 로고    scopus 로고
    • The edge preserving winner filter for scalar and tensor valued image
    • Krajsek, K., and Mester, R., The edge preserving winner filter for scalar and tensor valued image. DAGIM, pp. 91-100, 2006.
    • (2006) DAGIM , pp. 91-100
    • Krajsek, K.1    Mester, R.2
  • 5
    • 4544278119 scopus 로고    scopus 로고
    • Noise removal using fourth order partial differential equation with applications to medical magnetic resonance images in space and time
    • 10.1109/TIP.2003.819229
    • Lysaker, M., Lundervold, A., and Tai, X.-C., Noise removal using fourth order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Trans. Image. Proc. 12(12):1579-1590, 2003.
    • (2003) IEEE Trans. Image. Proc. , vol.12 , Issue.12 , pp. 1579-1590
    • Lysaker, M.1    Lundervold, A.2    Tai, X.-C.3
  • 7
    • 79953869411 scopus 로고    scopus 로고
    • Segmentation and identification of brain tumor MRI image with Radix4 FFT techniques
    • Rajeswari, R., and Anandhakumar, P., Segmentation and identification of brain tumor MRI image with Radix4 FFT techniques. Eur. J. Sci. Res. 52(1):100-109, 2011.
    • (2011) Eur. J. Sci. Res. , vol.52 , Issue.1 , pp. 100-109
    • Rajeswari, R.1    Anandhakumar, P.2
  • 9
    • 0031060807 scopus 로고    scopus 로고
    • Computerized tumor boundary detection using a Hopfield neural network
    • 10.1109/42.552055
    • Zhu, Y., and Yan, H., Computerized tumor boundary detection using a Hopfield neural network. IEEE Trans. Med. Imaging 16(1):55-67, 1997.
    • (1997) IEEE Trans. Med. Imaging , vol.16 , Issue.1 , pp. 55-67
    • Zhu, Y.1    Yan, H.2
  • 10
    • 4444333897 scopus 로고    scopus 로고
    • A brain tumor segmentation framework based on outlier detection
    • 10.1016/j.media.2004.06.007
    • Prastawa, M., Bullitt, E., Ho, S., and Gerig, G., A brain tumor segmentation framework based on outlier detection. Med. Image. Anal. 8(3):275-283, 2004.
    • (2004) Med. Image. Anal. , vol.8 , Issue.3 , pp. 275-283
    • Prastawa, M.1    Bullitt, E.2    Ho, S.3    Gerig, G.4
  • 11
    • 79960200644 scopus 로고    scopus 로고
    • A hybrid approach for automatic classification of brain MRI using genetic algorithm and support vector machine
    • Kharrat, A., Gasmi, K., Messaoud, M. B., Benamrane, N., and Abid, M., A hybrid approach for automatic classification of brain MRI using genetic algorithm and support vector machine. Leonardo J. Sci. 9(17):71-82, 2004.
    • (2004) Leonardo J. Sci. , vol.9 , Issue.17 , pp. 71-82
    • Kharrat, A.1    Gasmi, K.2    Messaoud, M.B.3    Benamrane, N.4    Abid, M.5
  • 13
    • 0030283909 scopus 로고    scopus 로고
    • Behavioral analysis of anisotropic diffusion in image processing
    • 10.1109/83.541424
    • You, Y.-L., Xu, W., Tannenbaum, A., and Kaveh, M., Behavioral analysis of anisotropic diffusion in image processing. IEEE Trans. Image. Proc. 5(11):1539-1553, 1996.
    • (1996) IEEE Trans. Image. Proc. , vol.5 , Issue.11 , pp. 1539-1553
    • You, Y.-L.1    Xu, W.2    Tannenbaum, A.3    Kaveh, M.4
  • 15
    • 4544240733 scopus 로고    scopus 로고
    • Noise removal using smoothed normals and surface fitting
    • 2093522 10.1109/TIP.2004.834662
    • Lysaker, M., Osher, S., and Tai, X.-C., Noise removal using smoothed normals and surface fitting. IEEE Trans. Image Process. 13(10):1345-1357, 2004.
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.10 , pp. 1345-1357
    • Lysaker, M.1    Osher, S.2    Tai, X.-C.3
  • 16
    • 0018466808 scopus 로고
    • Quantitative design and evaluation of enhancement/thresholding edge detectors
    • 10.1109/PROC.1979.11325
    • Abdou, I. E., and Pratt, W. K., Quantitative design and evaluation of enhancement/thresholding edge detectors. Proc. IEEE 67(5):753-763, 1979.
    • (1979) Proc. IEEE , vol.67 , Issue.5 , pp. 753-763
    • Abdou, I.E.1    Pratt, W.K.2
  • 17
    • 84858953181 scopus 로고    scopus 로고
    • Gradient based seeded region grow method for CT angiographic image segmentation
    • Rai, G. N. H., and Nair, T. R. G., Gradient based seeded region grow method for CT angiographic image segmentation. InterJRI Comput. Sci. Netw. 1(1):1-6, 2009.
    • (2009) InterJRI Comput. Sci. Netw. , vol.1 , Issue.1 , pp. 1-6
    • Rai, G.N.H.1    Nair, T.R.G.2
  • 18
    • 0024471185 scopus 로고
    • Contrast enhancement technique based on the local detection of edges
    • 10.1016/0734-189X(89)90166-7
    • Beghdadi, A., and Negrate, A. L., Contrast enhancement technique based on the local detection of edges. Comp. Vision Graph. Image Process. 46(2):162-174, 1989.
    • (1989) Comp. Vision Graph. Image Process. , vol.46 , Issue.2 , pp. 162-174
    • Beghdadi, A.1    Negrate, A.L.2
  • 19
    • 84867954603 scopus 로고    scopus 로고
    • A multiplicative noise removal approach based on partial differential equation model
    • Article ID: 242043, March 2012 (Accepted)
    • Chen, B., Cai, J.-L., Chen, W.-S., and Li, Y., A multiplicative noise removal approach based on partial differential equation model. Mathematical Problems in Engineering. Vol. 2012, Article ID: 242043, March 2012 (Accepted).
    • Mathematical Problems in Engineering , vol.2012
    • Chen, B.1    Cai, J.-L.2    Chen, W.-S.3    Li, Y.4
  • 20
    • 79952454436 scopus 로고    scopus 로고
    • A decision support system for automatic screening of non-proliferative diabetic retinopathy
    • 10.1007/s10916-009-9337-y
    • Reza, A. W., and Eswaran, C., A decision support system for automatic screening of non-proliferative diabetic retinopathy. J. Med. Syst. 35(1):17-24, 2011.
    • (2011) J. Med. Syst. , vol.35 , Issue.1 , pp. 17-24
    • Reza, A.W.1    Eswaran, C.2
  • 21
    • 58349088095 scopus 로고    scopus 로고
    • Automatic tracing of optic disc and exudates from color fundus images using fixed and variable thresholds
    • 10.1007/s10916-008-9166-4
    • Reza, A. W., Eswaran, C., and Hati, S., Automatic tracing of optic disc and exudates from color fundus images using fixed and variable thresholds. J. Med. Syst. 33:73-80, 2009.
    • (2009) J. Med. Syst. , vol.33 , pp. 73-80
    • Reza, A.W.1    Eswaran, C.2    Hati, S.3
  • 22
    • 84856232998 scopus 로고    scopus 로고
    • Diagnosis of diabetic retinopathy: Automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation
    • 10.1007/s10916-009-9426-y
    • Reza, A. W., Eswaran, C., and Dimyati, K., Diagnosis of diabetic retinopathy: automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation. J. Med. Syst. 35:1491-1501, 2011.
    • (2011) J. Med. Syst. , vol.35 , pp. 1491-1501
    • Reza, A.W.1    Eswaran, C.2    Dimyati, K.3
  • 23
    • 13844281110 scopus 로고    scopus 로고
    • A system for brain tumor volume estimation via MR imaging and fuzzy connectedness
    • 10.1016/j.compmedimag.2004.07.008 [22]
    • Liu, J., Udupa, J. K., Odhner, D., Hackney, D., and Moonis, G., A system for brain tumor volume estimation via MR imaging and fuzzy connectedness. Comput. Med. Imaging Graph. 29(no. 1):21-34, 2005 [22].
    • (2005) Comput. Med. Imaging Graph. , vol.29 , Issue.1 , pp. 21-34
    • Liu, J.1    Udupa, J.K.2    Odhner, D.3    Hackney, D.4    Moonis, G.5
  • 26
    • 4444333897 scopus 로고    scopus 로고
    • A brain tumor segmentation framework based on outlier detection
    • 10.1016/j.media.2004.06.007
    • Prastawa, M., Bullitt, E., Ho, S., and Gerig, G., A brain tumor segmentation framework based on outlier detection. Med. Image Anal. J. 8(3):275-283, 2004.
    • (2004) Med. Image Anal. J. , vol.8 , Issue.3 , pp. 275-283
    • Prastawa, M.1    Bullitt, E.2    Ho, S.3    Gerig, G.4
  • 27
    • 0035185610 scopus 로고    scopus 로고
    • Automatic segmentation of nonenhancing brain tumors in magnetic resonance images
    • 10.1016/S0933-3657(00)00073-7
    • Fletcher-Heath, L. M., Hall, L. O., Goldgof, D. B., and Reed Murtagh, F., Automatic segmentation of nonenhancing brain tumors in magnetic resonance images. Artif. Intell. Med. 21(1-3):43-63, 2001.
    • (2001) Artif. Intell. Med. , vol.21 , Issue.1-3 , pp. 43-63
    • Fletcher-Heath, L.M.1    Hall, L.O.2    Goldgof, D.B.3    Reed Murtagh, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.