AIMC Topic: Skin Diseases

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Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention.

Sensors (Basel, Switzerland) Oct 4, 2022
Today, the rapid development of industrial zones leads to an increased incidence of skin diseases because of polluted air. According to a report by the American Cancer Society, it is estimated that in 2022 there will be about 100,000 people suffering...
Humans Artificial Intelligence Skin Diseases Attention Skin Neoplasms Deep Learning
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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...
Diagnosis, Computer-Assisted Skin Diseases Pyramidal Tracts Neural Networks, Computer Humans Disease Progression
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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...
Machine Learning Algorithms Artificial Intelligence Logistic Models Humans Skin Diseases
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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...
Machine Learning Neural Networks, Computer Deep Learning Skin Diseases Artificial Intelligence Humans
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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...
Neural Networks, Computer Skin Diseases Humans
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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, ...
Skin Diseases Telangiectasis Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Humans Deep Learning
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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 ...
Humans Neural Networks, Computer Skin Skin Diseases Skin Neoplasms Deep Learning
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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...
Skin Diseases Humans Artificial Intelligence Dermoscopy Skin Neoplasms Deep Learning
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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...
Humans Neural Networks, Computer Skin Diseases Dermoscopy Skin Neoplasms Deep Learning
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Artificial intelligence recognition of cutaneous chronic graft-versus-host disease by a deep learning neural network.

British journal of haematology Mar 24, 2022
Graft vs Host Disease Skin Diseases Neural Networks, Computer Artificial Intelligence Machine Learning Deep Learning Humans
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