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  • Open Access


    Scalable Skin Lesion Multi-Classification Recognition System

    Fan Liu1, Jianwei Yan2, Wantao Wang2, Jian Liu2, *, Junying Li3, Alan Yang4

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 801-816, 2020, DOI:10.32604/cmc.2020.07039

    Abstract Skin lesion recognition is an important challenge in the medical field. In this paper, we have implemented an intelligent classification system based on convolutional neural network. First of all, this system can classify whether the input image is a dermascopic image with an accuracy of 99%. And then diagnose the dermoscopic image and the non-skin mirror image separately. Due to the limitation of the data, we can only realize the recognition of vitiligo by non-skin mirror. We propose a vitiligo recognition based on the probability average of three structurally identical CNN models. The method is More >

  • Open Access


    In Vivo Biomechanical Measurements of Benign and Cancerous Skin Lesions Using Vibrational Oct

    Frederick H. Silver1,*, Ruchit G. Shah2, Dominick Benedetto3

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 73-73, 2019, DOI:10.32604/mcb.2019.08150

    Abstract Previous literature reports suggest that tissue stiffness is a predictor of cancer and metastatic behavior of lesions. We have used optical coherence tomography and vibrational analysis (VOCT) to characterize normal skin, scar, a verrucous carcinoma (a squamous cell carcinoma subtype), a basal cell carcinoma and benign skin lesions non-invasively and non-destructively. The results suggest that epidermal thickening and increased keratin and basal cell production occur in malignant lesions and lead to increases in surface hills and valleys as well as subsequent increases in epidermal stiffness values. Increased stiffness of the epidermis is a result of… More >

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