AIMC Topic: Skin Diseases
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Dermoscopic image segmentation based on Pyramid Residual Attention Module.
PloS one
Sep 16, 2022
We propose a stacked convolutional neural network incorporating a novel and efficient pyramid residual attention (PRA) module for the task of automatic segmentation of dermoscopic images. Precise segmentation is a significant and challenging step for...
Separation of Different Blogs from Skin Disease Data using Artificial Intelligence.
Computational intelligence and neuroscience
Aug 23, 2022
A combination of environmental conditions may cause skin illness everywhere on the earth, and it is one of the most dangerous diseases that can develop as a result. A major goal in the selection of characteristics is to produce predictions about skin...
Background selection schema on deep learning-based classification of dermatological disease.
Computers in biology and medicine
Aug 17, 2022
Skin diseases are one of the most common ailments affecting humans. Artificial intelligence based on deep learning can significantly improve the efficiency of identifying skin disorders and alleviate the scarcity of medical resources. However, the di...
Measuring internal inequality in capsule networks for supervised anomaly detection.
Scientific reports
Aug 9, 2022
In this paper we explore the use of income inequality metrics such as Gini or Palma coefficients as a tool to identify anomalies via capsule networks. We demonstrate how the interplay between primary and class capsules gives rise to differences in be...
A deep learning approach to detect blood vessels in basal cell carcinoma.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 25, 2022
PURPOSE: Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, ...
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.
IEEE transactions on medical imaging
May 2, 2022
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even superior to those of dermatologists. However, broad implementation of DCNN ...
A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.
Journal of healthcare engineering
Apr 18, 2022
Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial stage, visual observation gives the opportunity of utilizing artif...
A novel approach for skin lesion symmetry classification with a deep learning model.
Computers in biology and medicine
Mar 28, 2022
Skin cancer has become a public health problem due to its increasing incidence. However, the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it is essential to identify particular characteristics such as the sy...
Artificial intelligence recognition of cutaneous chronic graft-versus-host disease by a deep learning neural network.
British journal of haematology
Mar 24, 2022
Efficacy of a Deep Learning Convolutional Neural Network System for Melanoma Diagnosis in a Hospital Population.
International journal of environmental research and public health
Mar 24, 2022
(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, specificity, and accuracy of the quantusSKIN system, a new clinical tool based on deep learning, to distinguish between benign skin lesions and melanoma i...
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