Saleh Naif Almuayqil¹, Reham Arnous^2,*, Noha Sakr³, Magdy M. Fadel³

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5177-5192, 2023, DOI:10.32604/cmc.2023.038625

Abstract Skin segmentation participates significantly in various biomedical applications, such as skin cancer identification and skin lesion detection. This paper presents a novel framework for segmenting the skin. The framework contains two main stages: The first stage is for removing different types of noises from the dermoscopic images, such as hair, speckle, and impulse noise, and the second stage is for segmentation of the dermoscopic images using an attention residual U-shaped Network (U-Net). The framework uses variational Autoencoders (VAEs) for removing the hair noises, the Generative Adversarial Denoising Network (DGAN-Net), the Denoising U-shaped U-Net (D-U-NET), and Batch Renormalization U-Net (Br-U-NET) for… More >

ALFONSO BLÁZQUEZ-CASTRO^1,2,*, JUAN CARLOS STOCKERT^2,3

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 >