Melanoma recognition framework based on expert definition of ABCD for dermoscopic imagesQaisar Abbas
Department of Computer Science, National Textile University, Faisalabad, 37610, Pakistan
Skin Res Technol 19:e93-102. 2013
..However, the current computer-aided diagnostic (CAD) systems for classification between malignant and nevus lesions using the ABCD criteria are imperfect due to use of ineffective computerized techniques...
- Unsupervised skin lesions border detection via two-dimensional image analysis
Qaisar Abbas
Department of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Comput Methods Programs Biomed 104:e1-15. 2011
..The unsupervised border detection system increased the true detection rate (TDR) is 4.31% and reduced the false positive rate (FPR) of 5.28%...
- Skin tumor area extraction using an improved dynamic programming approach
Qaisar Abbas
Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Skin Res Technol 18:133-42. 2012
..However, this task is complicated due to uneven illumination, artifacts present in the lesions and smooth areas or fuzzy borders of the desired regions...
- Lesion border detection in dermoscopy images using dynamic programming
Qaisar Abbas
Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Skin Res Technol 17:91-100. 2011
..As a result, there is a need for robust methods to remove artifacts and detect lesion borders in dermoscopy images...
Automatic skin tumour border detection for digital dermoscopy using a new digital image analysis schemeQ Abbas
Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, PR China
Br J Biomed Sci 67:177-83. 2010
..42% to 7.23%. The results have validated the integrated enhancement of numerous lesion border detections with the noise removal algorithm which may contribute to skin cancer classification...
- Computer-aided pattern classification system for dermoscopy images
Qaisar Abbas
Department of Computer Science, National Textile University, Faisalaba 37610, Pakistan
Skin Res Technol 18:278-89. 2012
..To differentiate between benign and malignant lesions, the extraction of color, architectural order, symmetry of pattern and homogeneity (CASH) is a challenging task...
- A feature-preserving hair removal algorithm for dermoscopy images
Qaisar Abbas
Department of Computer Science, National Textile University, Faisalabad, Pakistan
Skin Res Technol 19:e27-36. 2013
..Currently, many hair-restoration algorithms have been developed, but most of these fail to identify hairs accurately and their removal technique is slow and disturbs the lesion's pattern...
- A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images
Qaisar Abbas
Department of Computer Science, National Textile University, Faisalabad, Pakistan
Skin Res Technol 19:e490-7. 2013
..Accordingly for lesion recognition, automatic melanoma border detection (MBD) is an initial as well as crucial task...
