Background: Automated skin lesion border examination and analysis techniques have become an important field of research for distinguishing malignant pigmented lesions from benign lesions. An abrupt pigment pattern cutoff at the periphery of a skin lesion is one of the most important dermoscopic features for detection of neoplastic behavior. In current clinical setting, the lesion is divided into a virtual pie with eight sections. Each section is examined by a dermatologist for abrupt cutoff and scored accordingly, which can be tedious and subjective.

Methods: This study introduces a novel approach to objectively quantify abruptness of pigment patterns along the lesion periphery. In the proposed approach, first, the skin lesion border is detected by the density based lesion border detection method. Second, the detected border is gradually scaled through vector operations. Then, along gradually scaled borders, pigment pattern homogeneities are calculated at different scales. Through this process, statistical texture features are extracted. Moreover, different color spaces are examined for the efficacy of texture analysis.

Results: The proposed method has been tested and validated on 100 (31 melanoma, 69 benign) dermoscopy images. Analyzed results indicate that proposed method is efficient on malignancy detection. More specifically, we obtained specificity of 0.96 and sensitivity of 0.86 for malignancy detection in a certain color space. The F-measure, harmonic mean of recall and precision, of the framework is reported as 0.87.

Conclusions: The use of texture homogeneity along the periphery of the lesion border is an effective method to detect malignancy of the skin lesion in dermoscopy images. Among different color spaces tested, RGB color space's blue color channel is the most informative color channel to detect malignancy for skin lesions. That is followed by YCbCr color spaces Cr channel, and Cr is closely followed by the green color channel of RGB color space.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073935PMC
http://dx.doi.org/10.1186/s12859-016-1221-4DOI Listing

Publication Analysis

Top Keywords

skin lesion
20
lesion border
20
malignancy detection
12
dermoscopy images
12
color spaces
12
color channel
12
lesion
9
color
9
pigment pattern
8
gradually scaled
8

Similar Publications

Interleukin-10 (IL-10) is an immunomodulatory molecule that may play an immunosuppressive role in nonmelanoma skin cancer (NMSC), specifically basal cell carcinoma (BCC). We analyzed the role of IL10 promoter variants in genetic determinants of BCC susceptibility and their association with IL10 mRNA and IL-10 serum levels. Three promoter variants (- 1082 A > G, - 819 T > C, and - 592 A > C) were examined in 250 BCC patients and 250 reference group (RG) individuals.

View Article and Find Full Text PDF

Both the surgical non-cultured melanocyte-keratinocyte transplant procedure (MKTP) and intradermal injection of 5-Fluorouracil (5-FU) are effective in the treatment of vitiligo. Intrablisters injection of MKTP was done in one study with better results than MKTP application after ablative CO2 laser of the reciepient area. However, intrablister injection of 5-FU was not done before.

View Article and Find Full Text PDF

Sweet syndrome, also known as acute febrile neutrophilic dermatosis, is a rare condition characterised by fever, leucocytosis, and painful skin lesions. This retrospective study analysed 21 patients with Sweet syndrome treated at the Affiliated Hospital of Xuzhou Medical University from January 2015 to June 2022. The study aimed to investigate the aetiology, clinicopathological features, and treatment outcomes.

View Article and Find Full Text PDF

Objective: The direction of this study was to detect and analyze the specific mechanism of anti-apoptosis in mesenchymal stem cells (MSCs) cells caused by high expression of BCL2.

Methods: Bioinformatics was completed in Link omics. GO analysis and KEGG analysis were carried out, and the grope tool of Link omics database was used to evaluate PPI information and other core path analysis information.

View Article and Find Full Text PDF

Vitiligo is a complex autoimmune disease characterized by the loss of melanocytes, leading to skin depigmentation. Despite advances in understanding its genetic and molecular basis, the precise mechanisms driving vitiligo remain elusive. Integrating multiple layers of omics data can provide a comprehensive view of disease pathogenesis and identify potential therapeutic targets.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!