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19 results for “skin cancer”
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Research ArticleOpen accessPhrase in the titlePolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Comparative Study of Machine Learning Algorithms for Skin Cancer DetectionVineeth Victor, Amit Kumr Tyagi, Khushboo Tripathi et al.The skin is the largest organ in the human body, covering an area of around 20 square feet. Our skin keeps us safe from germs and the environment, helps us regulate our body temperature, and gives us the ability to feel touch, heat, and cold. More than 95 percent of all skin cancers are caused by ultraviolet (UV) radiation. UV … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 1,859 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Comprehensive Review on Skin Cancer Detection Strategies using Deep Neural NetworksAkepati Sankar Reddy, Gopinath M. PSkincancer is a deadly malignancy. Incomplete D.N.A. repair in skin cells causeshereditary mutations and cancer. Early skin cancer is easier to treat since itspreads slowly to other body areas. As a result, the optimal time to find it isduring its infancy. Because of the rising frequency of skin cancer, the highmortality rate, and the high cost of medical treatment, early … …Journal of Computer Science, Vol. 18, Issue 10 · 5 Oct 2022 · 6,400 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleUnveiling Skin Cancer: A Review of Deep Learning Techniques for DetectionGoutham Lal Shanmughamadom Harilal, Tamilselvi PanneerselvamEarly identification is essential for successful treatment and better patient outcomes since skin cancer is caused by damage to DNA in skin cells, which can result in genetic abnormalities and the possibility of metastasis. The present systematic review scrutinizes the efficacy and obstacles of early detection techniques, which differentiate between benign and malignant lesions by examining lesion attributes such as … …Journal of Computer Science, Vol. 21, Issue 9 · 23 Oct 2025 · 2,602 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnti-Carcinoma, Anti-Obesity, Antidiabetic and Immune Defence Effects of Vernonia amygdalina Leaf Extract and Leaf Powder, in Two Human Cancer PatientsUtoh-Nedosa Uchechukwu AnastasiaProblem statement: Two cancer patients were treated with Vernonia amygdalina (V. amygdalina) leaf extract and leaf powder. The leaf extract of V amygdalina was administered orally for 9 months to the first patient in response to his reception of a medical diagnosis of having traces of prostate cancer. Approach: This patient was also over weight by 40 kg. The V. … …American Journal of Immunology, Vol. 6, Issue 4 · 5 Aug 2011 · 8,616 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNew and Efficient Features for Skin Lesion Classification based on SkeletonizationYoussef Filali, Hasnae El Khoukhi, My Abdelouahed Sabri et al.This paper presents a new approach to detect and classify skin lesions for melanoma diagnosis with high accuracy. Skin lesion detection is based on an image decomposition into two components using the Partial Differential Equation (PDE). The first component that sufficiently preserves the contour is thus exploited to have an adequate segmentation of image lesion while the second component provides … …Journal of Computer Science, Vol. 15, Issue 9 · 2 Sep 2019 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractHibiscus Flower Extract and Niacinamide Show Enhanced Whitening Effects in Mouse Melanoma Cells (B16F10)Jae Eun Choi, Tae Su Jang, Jung Min Park et al.Melanoma, a type of cancer that most often occurs on skin exposed to UV rays, is becoming increasingly common. Recent research has focused actively on using natural products. The goal of this study was to compare the melanin-inhibitory effects of Hibiscus (Hibiscus sabdariffa L.) flower Extract (HE) and Niacinamide (NA), a functional ingredient with whitening effects, on melanoma cells. The … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 9 Feb 2023 · 7,226 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOptimization of Extraction of Cannabinoids and Flavonoids Substances from Influence Cannabis sp. and their Biological Activities before and after DecarboxylationOlga Kronusová, Michala Piklová, Kristýna Šírová et al.Inflorescence of eight different varieties of Cannabis sp. (3 hemp varieties and 5 medical cannabis varieties) were subjected to extraction with n-hexane or ethanol as representatives of non-polar and polar solvents. Crude extracts were either used directly or after decarboxylation of cannabis acids for measurement of selected biological activities-cytotoxicity against carcinogenic line B16 (musculus skin melanoma cells), cytotoxicity against Human … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 26 May 2022 · 6,735 accessesView PDFCite