Results 41 to 50 of about 26,808 (238)

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso   +7 more
wiley   +1 more source

Importance of dermoscopy in differentiating common urticaria and urticarial vasculitis: A randomized control study

open access: yesClinical Dermatology Review, 2021
Background: Urticarial vasculitis is a clinicopathological entity that overlaps with common urticaria, and histopathological diagnosis is required for differentiation between them.
Mahajabeen Saheb Patel Madarkar
doaj   +1 more source

Applicability of Novel Laser Scanning Microscopy Techniques in Demonstrating Characteristic Features of Porokeratosis: In Vivo and Ex Vivo Investigation

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Porokeratoses represent a group of keratinization disorders characterized histopathologically by the presence of a cornoid lamella. The recognition of porokeratosis as a genodermatosis, along with its association with increased risk of skin cancer, underscores the importance of accurate and timely diagnosis.
Rahime Inci   +5 more
wiley   +1 more source

The Prevalence of Dermoscopy Use Among Dermatology Residents in Riyadh, Saudi Arabia: Cross-Sectional Study

open access: yesJMIR Dermatology
BackgroundDermoscopy is a noninvasive technology used to examine the skin’s invisible microstructures in dermatological practice and is gaining prominence as a crucial tool.
Abdullah Almeziny   +6 more
doaj   +1 more source

Role of Dermoscopy in the Assessment of Basal Cell Carcinoma

open access: yesFrontiers in Medicine, 2021
Basal cell carcinoma is one of the most common cancers in white people, with a continuous increase worldwide. Dermoscopy, a non-invasive technique, allows early diagnosis based on the presence of typical vascular structures, pigmented structures, and ...
Loredana Ungureanu   +3 more
doaj   +1 more source

Dermoscopy for cutaneous fungal infections: A brief review

open access: yesHealth Science Reports, 2022
Background Fungal dermatological diseases are significant public health issues. Dermoscopy is a useful bedside assessment tool that helps clinicians diagnose various skin neoplasms and general dermatological diseases. Aim This brief review aims to update
Sophie Soyeon Lim   +2 more
doaj   +1 more source

Performance of a Deep Learning Algorithm for Melanoma Classification Across Diverse Dermoscopic and Tele‐Dermatology Datasets

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Early detection of melanoma significantly boosts patient survival rates. Deep learning has demonstrated dermatologist‐level accuracy in assessing pigmented skin lesions by analysing images at the pixel level. However, these neural networks may face challenges with ‘real‐life’ images due to limited training data and image artefacts ...
Marianne Zanchetta   +15 more
wiley   +1 more source

Knowledge Transfer for Melanoma Screening with Deep Learning

open access: yes, 2017
Knowledge transfer impacts the performance of deep learning -- the state of the art for image classification tasks, including automated melanoma screening.
Avila, Sandra   +5 more
core   +1 more source

Diagnostic Accuracy of Polarized and Ultraviolet Fluorescence-Induced Dermoscopy in Scarring and Nonscarring Alopecias: a Retrospective Observational Multicentric Study

open access: yesDermatology and Therapy
Introduction There is growing evidence that ultraviolet-induced fluorescence (UVF) dermoscopy may improve diagnostic accuracy in non-neoplastic dermatoses, yet data on hair disorders are scarce.
Noemi Plozner   +5 more
doaj   +1 more source

Automatic segmentation of skin cancer images using adaptive color clustering [PDF]

open access: yes, 2006
This paper presents the development of an adaptive image segmentation algorithm designed for the identification of the skin cancer and pigmented lesions in dermoscopy images. The key component of the developed algorithm is the Adaptive Spatial K-Means (A-
Ilea, Dana E., Whelan, Paul F.
core  

Home - About - Disclaimer - Privacy