Dermatology

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

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Showing 1555-1575 of 3,979 articles
Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery.

Modern computational approaches and machine learning techniques accelerate the invention of new drug...

CNN as model observer in a liver lesion detection task for x-ray computed tomography: A phantom study.

PURPOSE: The purpose of this study was the evaluation of anthropomorphic model observers trained wit...

Performance and clinical impact of machine learning based lung nodule detection using vessel suppression in melanoma patients.

PURPOSE: To evaluate performance and the clinical impact of a novel machine learning based vessel-su...

Remineralization effects when using different methods to apply fluoride varnish .

BACKGROUND/PURPOSE: Remineralization efficacy for early caries lesion may change when fluoride varni...

Skin Disease Recognition Method Based on Image Color and Texture Features.

Skin diseases have a serious impact on people's life and health. Current research proposes an effici...

RASPELD to Perform High-End Screening in an Academic Environment toward the Development of Cancer Therapeutics.

The identification of compounds for dissecting biological functions and the development of novel dru...

Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to qua...

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.

In this paper, we present a novel framework for dermoscopy image recognition via both a deep learnin...

Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks.

OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcin...

Skin lesion classification with ensembles of deep convolutional neural networks.

Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in ev...

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data.

This paper aims to address the segmentation and classification of lytic and sclerotic metastatic les...

Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.

BACKGROUND: Over the past decade, new technologies, devices, and methods have been developed to assi...

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (...

Dense Deconvolutional Network for Skin Lesion Segmentation.

Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the process ...

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imagin...

Ischemic stroke lesion segmentation using stacked sparse autoencoder.

Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic Resonance Imag...

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