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Volumn 175, Issue 3, 2005, Pages 141-159

A combined alignment and registration scheme of lesions with psoriasis

Author keywords

Alignment; Expectation maximization; Optimal window size; Psoriasis; Registration

Indexed keywords

ALGORITHMS; ALIGNMENT; GAUSSIAN NOISE (ELECTRONIC); HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; OPTIMAL SYSTEMS; OPTIMIZATION;

EID: 24144467439     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2005.01.009     Document Type: Conference Paper
Times cited : (10)

References (11)
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    • Instituto Politécnico Nacional, Universidad Nacional Autónoma de México, Fondo de Cultura Económica., México D.F., September
    • J. Lira, Introducción al Tratamiento Digital de Imágenes, First Ed., Instituto Politécnico Nacional, Universidad Nacional Autónoma de México, Fondo de Cultura Económica., México D.F., September 2002.
    • (2002) Introducción al Tratamiento Digital de Imágenes, First Ed.
    • Lira, J.1
  • 6
    • 33645593299 scopus 로고    scopus 로고
    • Illumination correction in psoriasis lesions images
    • Department of Informatics and Mathematical Modelling. Technical University of Denmark., Kgs. Lyngby. Denmark., January S.I.T.E. Project
    • G. Maletti, B. Ersbøll, Illumination correction in psoriasis lesions images. Technical Report 7, Department of Informatics and Mathematical Modelling. Technical University of Denmark., Kgs. Lyngby. Denmark., January 2003. S.I.T.E. Project.
    • (2003) Technical Report , vol.7
    • Maletti, G.1    Ersbøll, B.2
  • 7
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    • A contextual classifier that only requires one prototype pixel for each class
    • G. Maletti, B. Ersbøll, and K. Conradsen A contextual classifier that only requires one prototype pixel for each class IEEE Trans. Nucl. Sci. 49 3 2002 700 706
    • (2002) IEEE Trans. Nucl. Sci. , vol.49 , Issue.3 , pp. 700-706
    • Maletti, G.1    Ersbøll, B.2    Conradsen, K.3
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    • Multivariate alteration detection (m.a.d.) and m.a.f. postprocessing in multispectral, bitemporal image data: New approaches to change detection studies
    • A. Nielsen, K. Conradsen, and J. Simpson Multivariate alteration detection (m.a.d.) and m.a.f. postprocessing in multispectral, bitemporal image data: New approaches to change detection studies Remote Sens. Environ. 64 1998 1 19
    • (1998) Remote Sens. Environ. , vol.64 , pp. 1-19
    • Nielsen, A.1    Conradsen, K.2    Simpson, J.3
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    • Signal processing for magnetic resonance imaging and spectroscopy
    • Stocastic Model Based Image Analysis, chapter 14
    • Y. Wang, T. Adali, Signal Processing for Magnetic Resonance Imaging and Spectroscopy. Stocastic Model Based Image Analysis, (2000) 1-34 chapter 14, (Topics in Biomedical Imaging Course Notes.).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.