Results 31 to 40 of about 15,020 (140)
Scalar Spatiotemporal Blue Noise Masks [PDF]
arXiv, 2021 Blue noise error patterns are well suited to human perception, and when applied to stochastic rendering techniques, blue noise masks (blue noise textures) minimize unwanted low-frequency noise in the final image. Current methods of applying blue noise masks at each frame independently produce white noise frequency spectra temporally.
arxiv
Clinical Genetics, EarlyView.This report described 27 novel subject with CDK13‐related disorders. Collecting the clinical and radiological data, we better define the phenotypic spectrum of this condition and we suggest a comprehensive clinical management. ABSTRACT In 2016, Sifrim and colleagues described the first group of patients carrying heterozygous pathogenic variants in ...
Gianluca Contrò +57 more
wiley +1 more source
The formation of blue cluster in local Universe [PDF]
, 2020 It is well known from the Butcher-Oemler effect that galaxies in dense environment are mostly red with little star formation and the fraction of blue galaxies in galaxy groups/clusters also declines rapidly with redshifts. A recent work by Hashimoto et al.
arxiv +1 more source
The Prevalence and Severity of Hand Eczema Among Adults in Tasiilaq, East Greenland
Contact Dermatitis, EarlyView.This study clinically assessed the point prevalence and severity of hand eczema (HE) in 295 adults from Tasiilaq, East Greenland. HE was common, with a prevalence of 22.4%. The severity and distribution across age, sex, and occupation were comparable to findings reported in other European studies.
Morten Bahrt Haulrig +11 more
wiley +1 more source
Skin Lesion Diagnosis Using Convolutional Neural Networks [PDF]
arXiv, 2023 Cancerous skin lesions are one of the most common malignancies detected in humans, and if not detected at an early stage, they can lead to death. Therefore, it is crucial to have access to accurate results early on to optimize the chances of survival. Unfortunately, accurate results are typically obtained by highly trained dermatologists, who may not ...
arxiv
The Prognostic Significance of Tumoral Melanosis
Journal of Cutaneous Pathology, EarlyView.ABSTRACT Background Tumoral melanosis (TM) is a histological term to describe a nodular aggregation of macrophages containing melanin pigment (melanophages) that is devoid of viable melanocytes. It is most often identified in skin, where it may be appreciated clinically as a pigmented lesion; however, it can also be found in other organs such as lymph ...
Alison J. Potter +7 more
wiley +1 more source
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection [PDF]
arXiv, 2023 This study presents a lightweight pipeline for skin lesion detection, addressing the challenges posed by imbalanced class distribution and subtle or atypical appearances of some lesions. The pipeline is built around a lightweight model that leverages ghosted features and the DFC attention mechanism to reduce computational complexity while maintaining ...
arxiv
Journal of Cutaneous Pathology, EarlyView.ABSTRACT Background Genomic fusions involving Protein Kinase C (PKC or PRKC) have been classically identified in a subset of melanocytic neoplasms with heavy melanin pigmentation as described in older series. They were recently reclassified from the pigmented epithelioid melanocytoma (PEM) category to the blue nevus (BN) category in the fifth edition ...
Aofei Li +6 more
wiley +1 more source
Compound blue nevus: A misleading pigmented melanocytic tumor
Clinical Case Reports, 2022 Compound blue nevus had clinical and histological similarities with other heavily pigmented melanocytic tumor, like the pigmented epithelioid melanocytoma. Distinctive genomic aberrations have allowed differentiating it.
Massara Baklouti +11 more
doaj +1 more source
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture [PDF]
arXiv, 2020 Melanoma, one of most dangerous types of skin cancer, re-sults in a very high mortality rate. Early detection and resection are two key points for a successful cure. Recent research has used artificial intelligence to classify melanoma and nevus and to compare the assessment of these algorithms to that of dermatologists.
arxiv