메뉴 건너뛰기




Volumn 7, Issue 4, 2003, Pages 489-502

From colour to tissue histology: Physics-based interpretation of images of pigmented skin lesions

Author keywords

Colour analysis; Image analysis; Melanoma diagnosis; Physics based modelling; Pigmented skin lesions

Indexed keywords

COLLAGEN; MELANIN;

EID: 0142148232     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1361-8415(03)00033-1     Document Type: Article
Times cited : (99)

References (38)
  • 1
    • 0029680031 scopus 로고    scopus 로고
    • Reliability of computer image analysis of pigmented skin lesions of Australian adolescents
    • Aitken, J.F. et al., 1996. Reliability of computer image analysis of pigmented skin lesions of Australian adolescents. Cancer 78 (2), 252-257.
    • (1996) Cancer , vol.78 , Issue.2 , pp. 252-257
    • Aitken, J.F.1
  • 3
    • 0031048008 scopus 로고    scopus 로고
    • Epiluminescence microscopy of small pigmented skin lesions: Short-term formal training improves the diagnostic performance of dermatologists
    • Binder, M., Puespoeck-Schwarz, M., Steiner, A. et al., 1997. Epiluminescence microscopy of small pigmented skin lesions: short-term formal training improves the diagnostic performance of dermatologists. J. Am. Acad. Dermatol. 36, 197-202.
    • (1997) J. Am. Acad. Dermatol. , vol.36 , pp. 197-202
    • Binder, M.1    Puespoeck-Schwarz, M.2    Steiner, A.3
  • 4
    • 0028915293 scopus 로고
    • Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists
    • Binder, N. et al., 1995. Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. Arch. Dermatol 131, 286-291.
    • (1995) Arch. Dermatol. , vol.131 , pp. 286-291
    • Binder, N.1
  • 5
    • 0029922731 scopus 로고    scopus 로고
    • Invisible colours of melanoma. A telespectrophotometric diagnostic approach on pigmented skin lesions
    • Bono, A., Tomatis, S. et al., 1996. Invisible colours of melanoma. A telespectrophotometric diagnostic approach on pigmented skin lesions. Eur. J. Cancer 32A, 727-729.
    • (1996) Eur. J. Cancer , vol.32 A , pp. 727-729
    • Bono, A.1    Tomatis, S.2
  • 6
    • 0014884119 scopus 로고
    • Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma
    • Breslow, R.A., 1970. Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma. Ann. Surg. 172 (5), 902-908.
    • (1970) Ann. Surg. , vol.172 , Issue.5 , pp. 902-908
    • Breslow, R.A.1
  • 8
    • 35248883069 scopus 로고    scopus 로고
    • An inverse method for the recovery of tissue parameters from colour images
    • Taylor, C., Noble, J.A. (Eds.), Springer, Berlin, LNCS2732
    • Claridge E., Preece S.J., 2003. An inverse method for the recovery of tissue parameters from colour images. In: Taylor, C., Noble, J.A. (Eds.), Information Processing in Medical Imaging. Springer, Berlin, LNCS2732, pp. 306-317.
    • (2003) Information Processing in Medical Imaging , pp. 306-317
    • Claridge, E.1    Preece, S.J.2
  • 10
    • 0029722977 scopus 로고    scopus 로고
    • Developing a predictive model of human skin colouring
    • Vanmetter, R.L., Beutel, J. (Eds.), Vol. 2708
    • Cotton, S.D., Claridge, E., 1996. Developing a predictive model of human skin colouring. In: Vanmetter, R.L., Beutel, J. (Eds.), Proceedings of the SPIE Medical Imaging, Vol. 2708, pp. 814-825.
    • (1996) Proceedings of the SPIE Medical Imaging , pp. 814-825
    • Cotton, S.D.1    Claridge, E.2
  • 12
    • 17744389766 scopus 로고    scopus 로고
    • Automatic differentiation of melanoma from melanocytic naevi with multispectral digital dermoscopy: A feasibility study
    • Elbaum, M., Kopf, A.W., Rabinovitz, H.S. et al., 2001. Automatic differentiation of melanoma from melanocytic naevi with multispectral digital dermoscopy: A feasibility study. J. Am. Acad. Dermatol. 44 (2), 207-218.
    • (2001) J. Am. Acad. Dermatol. , vol.44 , Issue.2 , pp. 207-218
    • Elbaum, M.1    Kopf, A.W.2    Rabinovitz, H.S.3
  • 13
    • 0028105994 scopus 로고
    • Neural network diagnosis of malignant melanoma from color images
    • Ercal, F., Chawla, A., Stoecker, W. et al., 1994. Neural network diagnosis of malignant melanoma from color images. IEEE Trans. Biomed. Eng. 41, 837-845.
    • (1994) IEEE Trans. Biomed. Eng. , vol.41 , pp. 837-845
    • Ercal, F.1    Chawla, A.2    Stoecker, W.3
  • 14
    • 0000779312 scopus 로고
    • Primary malignant melanoma of the skin: The call for action to identify persons at risk, to discover precursor lesions, to detect early melanoma
    • Fitzpatrick, T.B., Rhodes, A.R., Sober, A.J., Mihn, M.C., 1988. Primary malignant melanoma of the skin: the call for action to identify persons at risk, to discover precursor lesions, to detect early melanoma. Pigment Cell. 9, 110-117.
    • (1988) Pigment Cell. , vol.9 , pp. 110-117
    • Fitzpatrick, T.B.1    Rhodes, A.R.2    Sober, A.J.3    Mihn, M.C.4
  • 15
    • 84974684911 scopus 로고    scopus 로고
    • Computer aided recognition of pigmented skin lesions
    • Ganster, H., Pinz, A., Kittler, H. et al., 1997. Computer aided recognition of pigmented skin lesions. Melanoma Res. 7, 19.
    • (1997) Melanoma Res. , vol.7 , pp. 19
    • Ganster, H.1    Pinz, A.2    Kittler, H.3
  • 16
    • 0035263308 scopus 로고    scopus 로고
    • Automated melanoma recognition
    • Ganster, H. et al., 2001. Automated melanoma recognition. IEEE Trans. Med. Imaging 20 (3), 233-239.
    • (2001) IEEE Trans. Med. Imaging , vol.20 , Issue.3 , pp. 233-239
    • Ganster, H.1
  • 17
    • 0035546367 scopus 로고    scopus 로고
    • Mixture model for face-color modelling and segmentation
    • Greenspan, H., Goldberger, J., Eshet, I., 2001. Mixture model for face-color modelling and segmentation. Pattern Recognition Lett. 22 (14), 1525-1536.
    • (2001) Pattern Recognition Lett. , vol.22 , Issue.14 , pp. 1525-1536
    • Greenspan, H.1    Goldberger, J.2    Eshet, I.3
  • 19
    • 0142174725 scopus 로고    scopus 로고
    • Border irregularity: Atypical moles versus melanoma
    • Huang, C.L., 1999. Border irregularity: atypical moles versus melanoma. Eur. J. Dermatol. 18 (2), 164-171.
    • (1999) Eur. J. Dermatol. , vol.18 , Issue.2 , pp. 164-171
    • Huang, C.L.1
  • 20
    • 0242723852 scopus 로고    scopus 로고
    • Altmeyer, P., Hoffman, K., Stucker, M. (Eds.), International Congress on Skin Cancer and UV Radiation, Bochum, Germany
    • Husemann, R. et al., 1997. In: Altmeyer, P., Hoffman, K., Stucker, M. (Eds.), Computerised Diagnosis of Skin Cancer Using Neural Networks. International Congress on Skin Cancer and UV Radiation, Bochum, Germany, pp. 1052-1063.
    • (1997) Computerised Diagnosis of Skin Cancer Using Neural Networks , pp. 1052-1063
    • Husemann, R.1
  • 21
    • 0036165170 scopus 로고    scopus 로고
    • Statistical color models with application to skin detection
    • Jones, M.J., Regh, J.M., 2002. Statistical color models with application to skin detection. Int. J. Computer Vision 46, 81-96.
    • (2002) Int. J. Computer Vision , vol.46 , pp. 81-96
    • Jones, M.J.1    Regh, J.M.2
  • 22
    • 0036191388 scopus 로고    scopus 로고
    • Tissue counter analysis of dermatoscopic images of melanocytic skin tumours: Preliminary findings
    • Kahofer, P. et al., 2002. Tissue counter analysis of dermatoscopic images of melanocytic skin tumours: preliminary findings. Melanoma Res. 12, 71-75.
    • (2002) Melanoma Res. , vol.12 , pp. 71-75
    • Kahofer, P.1
  • 26
    • 0142236796 scopus 로고    scopus 로고
    • Automated instrumentation and diagnosis of invasive melanoma
    • Menzies, S., Crook, B., McCarthy, W. et al., 1997. Automated instrumentation and diagnosis of invasive melanoma. Melanoma Res. 7, 13.
    • (1997) Melanoma Res. , vol.7 , pp. 13
    • Menzies, S.1    Crook, B.2    McCarthy, W.3
  • 28
    • 0142205874 scopus 로고    scopus 로고
    • Spectrophotometric intracutaneous analysis assists in the identification of dermatoscopic features
    • Moncrieff, M. et al., 2000. Spectrophotometric intracutaneous analysis assists in the identification of dermatoscopic features. J. Eur. Acad. Dermatol. Venerol. 14 (S1), 220.
    • (2000) J. Eur. Acad. Dermatol. Venerol. , vol.14 , Issue.S1 , pp. 220
    • Moncrieff, M.1
  • 29
    • 0036281317 scopus 로고    scopus 로고
    • Spectrophotometric Intracutaneous analysis: A new technique for imaging pigmented skin lesions
    • Moncrieff, M., Cotton, S., Claridge, E., Hall, P.N., 2002. Spectrophotometric Intracutaneous analysis: a new technique for imaging pigmented skin lesions. Br. J. Dermatol. 146 (3), 448-457.
    • (2002) Br. J. Dermatol. , vol.146 , Issue.3 , pp. 448-457
    • Moncrieff, M.1    Cotton, S.2    Claridge, E.3    Hall, P.N.4
  • 30
    • 0031893323 scopus 로고    scopus 로고
    • Clinical accuracy of the diagnosis of cutaneous malignant melanoma
    • Morton, C.A., MacKie, R.M., 1998. Clinical accuracy of the diagnosis of cutaneous malignant melanoma. Br. J. Dermatol. 138, 283-287.
    • (1998) Br. J. Dermatol. , vol.138 , pp. 283-287
    • Morton, C.A.1    MacKie, R.M.2
  • 31
    • 0033035135 scopus 로고    scopus 로고
    • Optical coherence tomography in dermatology
    • Pagnoni, A. et al., 1999. Optical coherence tomography in dermatology. Skin Res. Technol. 5, 83-87.
    • (1999) Skin Res. Technol. , vol.5 , pp. 83-87
    • Pagnoni, A.1
  • 32
    • 0037151334 scopus 로고    scopus 로고
    • Monte Carlo modelling of the spectral reflectance of the human eye
    • Preece, S.J., Claridge, E., 2002. Monte Carlo modelling of the spectral reflectance of the human eye. Phys. Med. Biol. 47, 2863-2877.
    • (2002) Phys. Med. Biol. , vol.47 , pp. 2863-2877
    • Preece, S.J.1    Claridge, E.2
  • 33
    • 0142143878 scopus 로고    scopus 로고
    • Detection of blood deprived regions in SIAgraph images of pigmented skin lesions
    • Houston, A., Zwiggelaar, R. (Eds.), 2002
    • Satta, F., Claridge, E., 2002. Detection of blood deprived regions in SIAgraph images of pigmented skin lesions. In: Houston, A., Zwiggelaar, R. (Eds.), Medical Image Understanding and Analysis 2002, pp. 57-60.
    • (2002) Medical Image Understanding and Analysis , pp. 57-60
    • Satta, F.1    Claridge, E.2
  • 34
    • 0032798545 scopus 로고    scopus 로고
    • Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas
    • Seidenari, S. et al., 1999. Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas. Melanoma Res. 9 (2), 163-171.
    • (1999) Melanoma Res. , vol.9 , Issue.2 , pp. 163-171
    • Seidenari, S.1
  • 36
    • 0033190620 scopus 로고    scopus 로고
    • Independent component analysis of skin color image
    • Tsumura, N. et al., 1999. Independent component analysis of skin color image. J. Opt. Soc. Am. A 16 (9), 2169-2176.
    • (1999) J. Opt. Soc. Am. A , vol.16 , Issue.9 , pp. 2169-2176
    • Tsumura, N.1
  • 37
    • 0035439284 scopus 로고    scopus 로고
    • Mapping pigmentation in human skin from a multi-channel visible spectrum image by inverse optical scattering technique
    • Tsumura, N. et al., 2001. Mapping pigmentation in human skin from a multi-channel visible spectrum image by inverse optical scattering technique. J. Imaging Sci. Technol. 45 (5), 444-450.
    • (2001) J. Imaging Sci. Technol. , vol.45 , Issue.5 , pp. 444-450
    • Tsumura, N.1
  • 38
    • 0034063642 scopus 로고    scopus 로고
    • Spectrophotometric assessment of pigmented skin lesions: Methods and feature selection for evaluation of diagnostic performance
    • Wallace, V.P. et al., 2000. Spectrophotometric assessment of pigmented skin lesions: methods and feature selection for evaluation of diagnostic performance. Phys. Med. Biol. 45 (3), 735-751.
    • (2000) Phys. Med. Biol. , vol.45 , Issue.3 , pp. 735-751
    • Wallace, V.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.