Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Subcategories: Atopy Psoriasis
Showing 1534-1554 of 3,979 articles
Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.

Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 milli...

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.

In recent years, several convolutional neural network (CNN) methods have been proposed for the autom...

Weakly Supervised Lesion Detection From Fundus Images.

Early diagnosis and continuous monitoring of patients suffering from eye diseases have been major co...

Demographic, Clinical, and Allergic Characteristics of Children with Eosinophilic Esophagitis in Isfahan, Iran.

Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food a...

Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag).

Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- lear...

Level of circulating steroid hormones in malaria and cutaneous leishmaniasis: a case control study.

Epidemiological and clinical studies have shown a great difference in the severity and prevalence of...

Artificial Intelligence Based Skin Classification Using GMM.

This study describes the usage of neural community based on the texture evaluation of pores and skin...

Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm.

Renal segmentation is one of the most fundamental and challenging task in computer aided diagnosis s...

Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.

BACKGROUND AND OBJECTIVE: Fully convolutional neural networks have been shown to perform well for au...

Predicting conversion from clinically isolated syndrome to multiple sclerosis-An imaging-based machine learning approach.

Magnetic resonance imaging (MRI) scans play a pivotal role in the evaluation of patients presenting ...

A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions.

Nonmass-like enhancements are a common but diagnostically challenging finding in breast MRI. Nonmass...

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

BACKGROUND: Automated classification of medical images through neural networks can reach high accura...

Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect...

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

BACKGROUND: State-of-the-art classifiers based on convolutional neural networks (CNNs) were shown to...

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients...

[An unusual cause of jaundice].

Hepatic impairment is common during hyperthyroidism. It is most often asymptomatic. Hyperthyroidism ...

Machine learning based framework to predict cardiac arrests in a paediatric intensive care unit : Prediction of cardiac arrests.

A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the ca...

Multimodal skin lesion classification using deep learning.

While convolutional neural networks (CNNs) have successfully been applied for skin lesion classifica...

Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation.

Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment...

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