Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images

Computerized Medical Imaging and Graphics

Volumn 35, Issue 2, 2011, Pages 116-120

  Wang, Hanzheng ^a   Moss, Randy H ^a   Chen, Xiaohe ^b   Stanley, R Joe ^a   Stoecker, William V ^c   Celebi, M Emre ^d   Malters, Joseph M ^e   Grichnik, James M ^f   Marghoob, Ashfaq A ^g   Rabinovitz, Harold S ^h   Menzies, Scott W ⁱ   Szalapski, Thomas M ^a  

^a Architectural and Environmental Engineering   (United States)

^b APPLE INC   (United States)

^c Stoecker and Associates   (United States)

^d Louisiana State University   (United States)

^e The Dermatology Center   (United States)

^f UNIVERSITY OF MIAMI HEALTH SYSTEM   (United States)

^g MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^h SKIN AND CANCER ASSOCIATES   (United States)

ⁱ Sydney Melanoma Unit   (Australia)

Author keywords

Image processing; Malignant melanoma; Neural network; Segmentation; Watershed

Indexed keywords

BORDER DETECTION; DERMOSCOPY IMAGES; GROUND TRUTH; MALIGNANT MELANOMA; NEURAL NETWORK CLASSIFIER; NOISE REMOVAL; POST PROCESSING; SEGMENTATION; SKIN LESION; WATERSHED SEGMENTATION;

DERMATOLOGY; IMAGING SYSTEMS; LANDFORMS; NEURAL NETWORKS; ONCOLOGY; WATERSHEDS;

IMAGE SEGMENTATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BENIGN SKIN TUMOR; EPILUMINESCENCE MICROSCOPY; FALSE POSITIVE RESULT; HAIR; IMAGE PROCESSING; MELANOMA; NOISE; PRIORITY JOURNAL; SKIN TUMOR; VIGNETTE;

ALGORITHMS; DERMOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 79951515493     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2010.09.006     Document Type: Article

References (15)

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