AIMC Topic: Skin Diseases

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Diagnostic accuracy of content-based dermatoscopic image retrieval with deep classification features.

The British journal of dermatology Oct 17, 2018
BACKGROUND: Automated classification of medical images through neural networks can reach high accuracy rates but lacks interpretability.
Humans Retrospective Studies Dermoscopy Skin Skin Diseases Datasets as Topic Deep Learning ROC Curve Image Processing, Computer-Assisted
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Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

The Journal of investigative dermatology Oct 17, 2018
Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect the skin. Drug repurposing (or repositioning) is a cost-effective approach for finding drugs that can be used to treat diseases for which they are cu...
Skin Diseases PubMed Immune System Diseases Transcriptome Cohort Studies ROC Curve Computational Biology Drug Repositioning Humans Skin Machine Learning Algorithms
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Multimodal skin lesion classification using deep learning.

Experimental dermatology Sep 27, 2018
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classification, previous studies have generally considered only a single clinical/macroscopic image and output a binary decision. In this work, we have presente...
Dermoscopy Deep Learning Multimodal Imaging Humans Skin Diseases Metadata Photography
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Skin Disease Recognition Method Based on Image Color and Texture Features.

Computational and mathematical methods in medicine Aug 26, 2018
Skin diseases have a serious impact on people's life and health. Current research proposes an efficient approach to identify singular type of skin diseases. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis f...
Humans Image Processing, Computer-Assisted Support Vector Machine Color Skin Diseases
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An Intelligent System for Monitoring Skin Diseases.

Sensors (Basel, Switzerland) Aug 4, 2018
The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary...
Humans Artificial Intelligence Melanoma Reproducibility of Results Skin Diseases
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Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinical adoption of computer-aided ...
Deep Learning Skin Diseases Quality Improvement Humans Neural Networks, Computer Machine Learning Algorithms Diagnosis, Computer-Assisted
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Delayed Diagnosis Eye Diseases Adrenal Cortex Hormones Skin Diseases Proteinuria Male Female Heart Diseases Humans Middle Aged Adult Retrospective Studies Disease Progression Nervous System Diseases Brazil Cross-Sectional Studies Acute Kidney Injury Arthritis Lung Diseases Gastrointestinal Diseases Creatinine Granulomatosis with Polyangiitis
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How I learned to stop worrying and love machine learning.

Clinics in dermatology Jun 8, 2018
Artificial intelligence and its machine learning (ML) capabilities are very promising technologies for dermatology and other visually oriented fields due to their power in pattern recognition. Understandably, many physicians distrust replacing clinic...
Pattern Recognition, Automated Liability, Legal Humans Skin Diseases Neural Networks, Computer Dermatology Machine Learning
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Computational Analysis of Cell Dynamics in Videos with Hierarchical-Pooled Deep-Convolutional Features.

Journal of computational biology : a journal of computational molecular cell biology Apr 25, 2018
Computational analysis of cellular appearance and its dynamics is used to investigate physiological properties of cells in biomedical research. In consideration of the great success of deep learning in video analysis, we first introduce two-stream co...
Neural Networks, Computer Mice, Inbred C57BL Mice Skin Diseases Computational Biology Algorithms Mice, Inbred BALB C Lymphocytes Video Recording Animals Male Skin Transplantation Cell Physiological Phenomena
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Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases.

Scientific reports Jun 16, 2017
Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is necessary to prevent ADR, the rapid pace of drug discovery makes it challenging...
Skin Diseases Drug-Related Side Effects and Adverse Reactions Gene Expression Regulation Gene Regulatory Networks Databases, Genetic Machine Learning Workflow Reproducibility of Results
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