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  • Open Access

    ARTICLE

    Development of Efficient Classification Systems for the Diagnosis of Melanoma

    S. Palpandi1,*, T. Meeradevi2

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 361-371, 2022, DOI:10.32604/csse.2022.021412

    Abstract Skin cancer is usually classified as melanoma and non-melanoma. Melanoma now represents 75% of humans passing away worldwide and is one of the most brutal types of cancer. Previously, studies were not mainly focused on feature extraction of Melanoma, which caused the classification accuracy. However, in this work, Histograms of orientation gradients and local binary patterns feature extraction procedures are used to extract the important features such as asymmetry, symmetry, boundary irregularity, color, diameter, etc., and are removed from both melanoma and non-melanoma images. This proposed Efficient Classification Systems for the Diagnosis of Melanoma (ECSDM) framework consists of different schemes… More >

  • Open Access

    ARTICLE

    Certain Investigations on Melanoma Detection Using Non-Subsampled Bendlet Transform with Different Classifiers

    S. Poovizhi, T. R. Ganesh Babu, R. Praveena*

    Molecular & Cellular Biomechanics, Vol.18, No.4, pp. 201-219, 2021, DOI:10.32604/mcb.2021.017984

    Abstract Skin is the largest organ and outer enclosure of the integumentary system that protects the human body from pathogens. Among various cancers in the world, skin cancer is one of the most commonly diagnosed cancer which can be either melanoma or non-melanoma. Melanoma cancers are very fatal compared with non-melanoma cancers but the chances of survival rate are high when diagnosed and treated earlier. The main aim of this work is to analyze and investigate the performance of Non-Subsampled Bendlet Transform (NSBT) on various classifiers for detecting melanoma from dermoscopic images. NSBT is a multiscale and multidirectional transform based on… More >

  • Open Access

    ARTICLE

    Astragaloside IV improves melanocyte differentiation from mouse bone marrow mesenchymal stem cells

    XINGYU MEI, ZHOUWEI WU, CHENGZHONG ZHANG, YUE SUN, WEIMIN SHI*

    BIOCELL, Vol.45, No.6, pp. 1551-1559, 2021, DOI:10.32604/biocell.2021.015376

    Abstract Vitiligo results in an autoimmune disorder destructing skin pigment cells, melanocytes (Mcs). This study aimed to investigate whether Astragaloside IV (AIV) could efficiently induce differentiation of bone marrow mesenchymal stem cells (BMMSCs) into Mcs. BMMSCs were induced and differentiated into Mcs with 0.1, 0.2, and 0.4 mg/L AIV during 150-day. Morphologic changes of differentiated cells were observed. Levels of some melanocytic specific genes (TRP-1, TRP-2, MART-1, Mitf) were measured with quantitative polymerase chain reaction (qPCR) at 90, 120, and 150 days of induction. After 90-day induction, the differentiated cells with 0.4 mg/L AIV demonstrated the typical morphology of Mcs, positive… More >

  • Open Access

    REVIEW

    Biomedical overview of melanin. 1. Updating melanin biology and chemistry, physico-chemical properties, melanoma tumors, and photothermal therapy

    ALFONSO BLÁZQUEZ-CASTRO1,2,*, JUAN CARLOS STOCKERT2,3

    BIOCELL, Vol.45, No.4, pp. 849-862, 2021, DOI:10.32604/biocell.2021.015900

    Abstract Melanins (eumelanin, pheomelanin, and allomelanin) represent a very, if not the most, important group of biological pigments. Their biological roles are multiple, from photoprotection to antioxidant activity, heavy metal disposal or the myriad uses of color in organisms across all Phyla. In the first part of this review, eumelanin biology and some chemical aspects will be presented, as well as key physico-chemical features that make this biological pigment so interesting. The principal characteristics of the melanocyte, the melanin-synthesizing cell in mammals, will also be introduced. Transformed melanocytes are the cause of one of the most devastating known cancers: the malignant… More >

  • Open Access

    ARTICLE

    Skin Melanoma Classification System Using Deep Learning

    R. Thamizhamuthu*, D. Manjula

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1147-1160, 2021, DOI:10.32604/cmc.2021.015503

    Abstract The deadliest type of skin cancer is malignant melanoma. The diagnosis requires at the earliest to reduce the mortality rate. In this study, an efficient Skin Melanoma Classification (SMC) system is presented using dermoscopic images as a non-invasive procedure. The SMC system consists of four modules; segmentation, feature extraction, feature reduction and finally classification. In the first module, k-means clustering is applied to cluster the colour information of dermoscopic images. The second module extracts meaningful and useful descriptors based on the statistics of local property, parameters of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model of wavelet and spatial patterns by Dominant… More >

  • Open Access

    ARTICLE

    Uveal Melanoma Management for Medical Oncologists in 2020
    Prise en charge du mélanome uvéal en oncologie médicale en 2020

    Sophie Piperno-Neumann1,*, Pascale Mariani2, Vincent Servois3, Gaelle Pierron4, Livia LumbrosoRouic5, Alexandre Matet5,6, Manuel Rodrigues1, Nathalie Cassoux5,6

    Oncologie, Vol.22, No.4, pp. 203-212, 2020, DOI:10.32604/oncologie.2020.014102

    Abstract Uveal melanoma is a rare subtype of melanoma, intrinsically different from cutaneous melanoma. Despite optimal therapeutic management allowing local control of the primary ocular tumor, 20 to 50% of patients develop metastases, mainly localized to the liver, with a poor prognosis and a 12-month median survival from the diagnosis of the metastatic disease. There is a lack of effective treatments in the metastatic setting, and dedicated strategies and trials for uveal melanoma patients are needed, based on identification of new targets and specific preclinical findings.


    Résumé:
    Le mélanome de l’uvée est un cancer rare, en tous points différent du mélanome… More >

  • Open Access

    ARTICLE

    Pathological Examination: Features of Ocular Tumors
    Examen Anatomopathologique: Particularités des Tumeurs Oculaires

    Sophie Gardrat*, Vincent Cockenpot

    Oncologie, Vol.22, No.4, pp. 195-202, 2020, DOI:10.32604/oncologie.2020.013698

    Abstract The pathological examination of ocular tumors has specificities in terms of macroscopic management, microscopic analysis, and molecular examinations requiring special attention. We discuss here the difficulties encountered in the reception in the pathological anatomy laboratory of conjunctival samples, enucleation and orbital exenteration pieces, then detail the diagnostic and theranostic, microscopic and molecular characteristics of ocular tumor pathologies. Conjunctival tumors (epithelial, melanocytic and lymphoid), choroidal tumors (including uveal melanoma) and retinoblastoma are treated. Because of their low frequency and their features, these tumors should be the subject of anatomo-clinical discussions.

    Résumé:
    L’examen anatomopathologique des tumeurs oculaires comporte des spécificités en termes… More >

  • Open Access

    EDITORIAL

    Specificities of Ophthalmic Tumors: Usefulness of A National Network
    Spécificités des Tumeurs de la Sphère Ophtalmique: Utilité d’un Réseau National

    Laurence Desjardins*

    Oncologie, Vol.22, No.4, pp. 189-194, 2020, DOI:10.32604/oncologie.2020.012377

    Abstract We describe the most frequent malignant intraocular tumors, conjunctival tumors and some lids and orbital tumors. Primary intraocular malignant tumors are retinoblastoma in children and uveal melanoma in adults. For uveal melanoma, the liver is the most frequent site of metastasis and this is why it is justified to prescribe liver ultrasonography every 6 months to these patients. Metastatic tumors can occur in the uvea and more frequently in the posterior part called the choroid. They are more frequent after breast cancer and lung cancer. Conjunctival tumors can be epithelial (benign papillomas and epidermoid carcinomas) or melanocytic (benign naevi and… More >

  • Open Access

    ARTICLE

    Fractions of a chloroform extract of ajenjo leaves (Artemisia mendozana DC. var. mendozana) inhibit the proliferation, viability and clonogenicity of B16-F0 melanoma cells

    MARÍA ELISA MILLÁN1, MARÍA FERNANDA MARRA1, LEONARDO ANDRÉS SALVARREDI1,2,3, EMILIO FERNANDO LIZARRAGA4,*, LUIS ALBERTO LOPEZ1,*

    BIOCELL, Vol.44, No.3, pp. 293-299, 2020, DOI:10.32604/biocell.2020.012342

    Abstract The ajenjo, Artemisia mendozana DC. var. mendozana (Asteraceae), grows in the Andean foothills of Mendoza and San Juan, Argentina, and is used as a medicinal plant for its antispasmodic and antifungal properties. The aim of this work was to obtain fractions of a chloroform extract of ajenjo leaves and to evaluate the in vitro effects on proliferation, viability and clonogenicity of B16-F0 melanoma cells. Using a silica gel chromatography column, 120 fractions were collected and grouped according to the chromatographic profile in 9 main fractions (F1–F9). Their major compounds identified were: terpenes (F1), terpenes and sesquiterpene lactones (F2–F3), sesquiterpenes (F4–F6)… More >

  • Open Access

    REVIEW

    Current status of gene therapy in melanoma treatment

    YONGLU WANG1,2,*, WEI YOU1, XUEMING LI3,4,*

    BIOCELL, Vol.44, No.2, pp. 167-174, 2020, DOI:10.32604/biocell.2020.09023

    Abstract Melanoma is the deadliest type of skin cancer and which has a high ability of metastasis. Surgery is an effective method to treat I or II stage melanoma patients. However, there are few treatment options for metastatic melanoma. Gene therapy is one of the attractive options and is considered as the future direction for treating melanoma. This review mainly discusses the properties and challenges of the various gene therapies in melanoma, especially the delivery systems and gene targeting. More >

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