Results 61 to 70 of about 1,461,442 (277)
Exploring the Impact of Skin Color on Skin Lesion Segmentation
Skin cancer, particularly melanoma, remains a major cause of morbidity and mortality, making early detection critical. AI-driven dermatology systems often rely on skin lesion segmentation as a preprocessing step to delineate the lesion from surrounding skin and support downstream analysis.
Kuniko Paxton +5 more
openaire +3 more sources
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms
Skin cancer is the most common type of cancer in the world and the incidents of skin cancer have been rising over the past decade. Even with a dermoscopic imaging system, which magnifies the lesion region, detecting and classifying skin lesions by visual
Seetharani Murugaiyan Jaisakthi +2 more
doaj +1 more source
Dense-Residual Network With Adversarial Learning for Skin Lesion Segmentation
Skin lesion segmentation in dermoscopic images is a challenging task in the domain of medical images analysis because of the irregular and blurring edges of the lesion and the presence of various artifacts.
Wenli Tu +3 more
doaj +1 more source
Skin Lesion Segmentation by U-Net with Adaptive Skip Connection and Structural Awareness
Skin lesion segmentation is one of the pivotal stages in the diagnosis of melanoma. Many methods have been proposed but, to date, this is still a challenging task.
Tran-Dac-Thinh Phan +3 more
doaj +1 more source
Skin lesion classification enhancement using border-line features – The melanoma vs nevus problem
Machine learning algorithms are progressively assuming an important role as a computational tool to support clinical diagnosis, namely in the classification of pigmented skin lesions.
Faria, Sergio M. M. +6 more
core +1 more source
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli +13 more
wiley +1 more source
MUCM-Net: a Mamba powered UCM-Net for skin lesion segmentation [PDF]
Aim: Skin lesion segmentation is critical for early skin cancer detection. Challenges in automatic segmentation from dermoscopic images include variations in color, texture, and artifacts of indistinct lesion boundaries.
Chunyu Yuan +2 more
doaj +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach
Skin cancer poses a significant health risk, affecting multiple layers of the skin, including the dermis, epidermis, and hypodermis. Melanoma, a severe type of skin cancer, originates from the abnormal proliferation of melanocytes in the epidermis ...
Abdulrahman Gharawi +2 more
doaj +1 more source

