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Volumn 3, Issue , 2011, Pages 31-34

Classification of melanoma and clark nevus skin lesions based on Medical Image Processing Techniques

Author keywords

Clark nevus; classification; Skin cancer

Indexed keywords

AMBIENT LIGHTING; CLARK NEVUS; CLASSIFICATION; CLASSIFICATION RATES; COLOR DIFFERENCE; COLOR IMAGES; EDUCATIONAL TOOLS; IMAGE PROCESSING TECHNIQUE; IN-SITU; MEDICAL IMAGE PROCESSING; OPTICAL CHARACTERISTICS; PATTERN CLASSIFICATION; SKIN CANCER; SKIN CANCERS; SKIN COLOR; SKIN LESION;

EID: 79957542657     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCRD.2011.5764239     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 4
    • 35248814395 scopus 로고    scopus 로고
    • Thesis submitted in partial fulfillment for Master's degree in Electrical Engineering at Southern Illinois University, Edwardsville, Illinois
    • Iris Cheng, "Skin tumor classification using relative color features"; Thesis submitted in partial fulfillment for Master's degree in Electrical Engineering at Southern Illinois University, Edwardsville, Illinois, 2006.
    • (2006) Skin Tumor Classification Using Relative Color Features
    • Cheng, I.1
  • 6
    • 10644236770 scopus 로고    scopus 로고
    • American Cancer Society, Published by American Cancer Society, Inc
    • US 2004 Cancer Facts and Figures, American Cancer Society, 2004, Published by American Cancer Society, Inc, http://www.cancer.org/docroot/STT/ content/STT-1x-Cancer-Facts-Figures-2007.asp".
    • (2004) US 2004 Cancer Facts and Figures
  • 8
    • 0003834557 scopus 로고
    • Freeman, San Francisco
    • D Marr, Vision, Freeman, San Francisco (1982).
    • (1982) Vision
    • Marr, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.