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Dermoscopy and Ultraviolet-Enhanced Fluorescence Dermoscopy (UEFD) Increase the Accuracy of Diagnosis and Are Useful in Assessing the Effectiveness of Treatment.
J Fungi (Basel)
January 2025
University Centre of General Dermatology and Oncodermatology, Wroclaw Medical University, 50-368 Wroclaw, Poland.
, a zoophilic dermatophyte, infects the stratum corneum and keratinized tissues like hair and nails in cats and dogs, with cats serving as the primary reservoir. Most human infections arise from animal contact. We present the case of a girl aged 8 with skin scalp lesions persisting for two months.
View Article and Find Full Text PDFDermoscopic Features of Diaper Dermatoses in Children: A Descriptive Pilot Study.
Indian Dermatol Online J
November 2024
Department of Dermatology, Venereology, and Leprosy, Gandhi Medical College, Secundarabad, Telangana, India.
Background: Diaper dermatoses broadly refer to skin disorders that occur in the diaper area. Dermoscopy is a non-invasive diagnostic tool that magnifies subsurface structures of the skin that are invisible to the unaided eye.
Aim: To identify and describe the dermoscopic features of dermatoses in the diaper area.
Discordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumors.
Nat Commun
January 2025
Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
View Article and Find Full Text PDFDiagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.
BMC Cancer
January 2025
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Background: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.
View Article and Find Full Text PDFBoosting skin cancer diagnosis accuracy with ensemble approach.
Sci Rep
January 2025
School of Information and Electronic Engineering and Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology, Zhejiang University of Science and Technology, No. 318, Hangzhou, Zhejiang, China.
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images, early detection has been enhanced.
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