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http://dx.doi.org/10.1111/ijd.13083 | DOI Listing |
Acta Derm Venereol
January 2025
Department of Dermatology, University Hospital of Basel, Basel, Switzerland; Department of Dermatology, University Hospital of Zurich, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Pregnancy-associated changes in melanocytic nevi (MN), apart from size increase on the trunk, remain a topic of debate. We conducted the first prospective study to investigate dermoscopic changes in MN comparing pregnant with non-pregnant women on all body parts using a market-approved convolutional neural network (CNN). We included 25 pregnant and 25 non-pregnant women from Basel, Switzerland, who underwent standard skin cancer screenings and whose MN > 2 mm were digitally recorded and analysed by a CNN.
View Article and Find Full Text PDFArch Pathol Lab Med
December 2024
From the Departments of Pathology, University of Michigan Medical School, Ann Arbor (Plotzke, Manthei, Fullen, Chan, Bresler, Xiao, Andea, Harms).
Context.—: Patients with melanoma can develop second tumors representing either metastases or new primary melanoma. This distinction has profound implications for management.
View Article and Find Full Text PDFDermatol Ther (Heidelb)
December 2024
Department of Cell Biology and Physiology, The Neuroscience Center, College of Life Sciences, Brigham Young University, Provo, UT, 84602, USA.
Introduction: Retinol has a long history of treating skin conditions, including photoaging. However, skin irritation with repeated use of retinol is well documented. The present study assessed the effectiveness of a novel topical formulation, referred to as retinol topical formulation (RTF), to improve the quality of skin health.
View Article and Find Full Text PDFArch Dermatol Res
December 2024
Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.12 Jiangwangmiao, Xuanwu District, Nanjing, 210042, Jiangsu, China.
Vitiligo is the most frequently diagnosed depigmentation disease, affecting nearly 0.5-2% of individuals worldwide. This disorder is characterized by melanocyte loss, which results in skin and hair depigmentation.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
College of Computer Science and Technology, Guizhou University, Guiyang, China.
Background: A change in the output of deep neural networks (DNNs) via the perturbation of a few pixels of an image is referred to as an adversarial attack, and these perturbed images are known as adversarial samples. This study examined strategies for compromising the integrity of DNNs under stringent conditions, specifically by inducing the misclassification of medical images of disease with minimal pixel modifications.
Methods: This study used the following three publicly available datasets: the chest radiograph of emphysema (cxr) dataset, the melanocytic lesion (derm) dataset, and the Kaggle diabetic retinopathy (dr) dataset.
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