Automated skin lesion screening - A new approach

Melanoma Research

Volumn 11, Issue 1, 2001, Pages 31-35

  Day, G R ^a   Barbour, R H ^a  

^a UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Computer diagnosis; Digital imaging; Melanoma; Screening; Skin cancer

Indexed keywords

ARTICLE; CANCER DIAGNOSIS; CANCER SCREENING; CANCER SURGERY; COMPUTER ASSISTED DIAGNOSIS; DECISION MAKING; HUMAN; MELANOMA; PRIORITY JOURNAL; REPRODUCIBILITY; SKIN DEFECT;

ALGORITHMS; AUTOMATION; DERMATOLOGY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MEDICAL ONCOLOGY; MELANOMA; ROC CURVE; SKIN NEOPLASMS;

EID: 0035136301     PISSN: 09608931     EISSN: None     Source Type: Journal    
DOI: 10.1097/00008390-200102000-00004     Document Type: Article

References (20)

1. Classification of melanocytic lesions with color and texture analysis using digital image processing
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3. Neural network diagnosis of malignant melanoma from colour images
4. Can early malignant melanoma be differentiated from atypical melanocytic nevus by in vivo techniques? Part ii. Automatic machine vision classification
5. Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas
6. Automated melanoma diagnosis: Where are we at?
7. The recognition and management of melanoma and other skin lesions by general practitioners in New Zealand
8. Primary care in dermatology: Whose role should it be?
9. Melanoma: Accuracy of clinical diagnosis
10. Automatic detection of irregular borders in melanoma and other skin tumors
11. Detection of skin tumor boundaries in color images
12. Skin cancer diagnosis using hierarchical neural networks and fuzzy systems
13. Computerized system to enhance the clinical diagnosis of pigmented cutaneous malignancies
14. Early detection of malignant melanoma: The role of physician examination and self examination of the skin
15. Automated instrumentation for the diagnosis of invasive melanoma: Image analysis of epiluminescence microscopy