Results 51 to 60 of about 1,461,442 (277)
HAIR ARTIFACT REMOVAL AND SKIN LESION SEGMENTATION OF DERMOSCOPY IMAGES [PDF]
, 2018 Objective: The objective of this research is to perform automatic hair artifact removal and skin lesion segmentation on dermoscopy images.Methods: Dermoscopy images are images from the examination of the skin lesion using a dermatoscope.
Salido, Julie Ann +3 more
core +2 more sources
Rethinking Skin Lesion Segmentation in a Convolutional Classifier [PDF]
Journal of Digital Imaging, 2017 Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis systems powered by convolutional neural networks (CNNs) can improve diagnostic accuracy and save lives. CNNs have been successfully used in both skin lesion segmentation and classification. For reasons heretofore unclear, previous works have found image segmentation
Jack Burdick +3 more
openaire +3 more sources
Automatic segmentation of skin cancer images using adaptive color clustering [PDF]
, 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 +2 more sources
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon +5 more
wiley +1 more source
A Deep Residual Architecture for Skin Lesion Segmentation
, 2018 In this paper, we propose an automatic approach to skin lesion region segmentation based on a deep learning architecture with multi-scale residual connections. The architecture of the proposed model is based on UNet [22] with residual connections to maximise the learning capability and performance of the network.
Gurram Munirathnam, Venkatesh +3 more
openaire +2 more sources
A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]
, 2007 This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core +2 more sources
IEEE Access, 2023 Skin lesion segmentation is a critical task in the field of dermatology as it can aid in the early detection and diagnosis of skin diseases. Deep learning techniques have shown great potential in achieving accurate lesion segmentation.
Shengnan Hao +6 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea +53 more
wiley +1 more source