Latest AI and machine learning research in dermatology for healthcare professionals.
Modern computational approaches and machine learning techniques accelerate the invention of new drug...
PURPOSE: The purpose of this study was the evaluation of anthropomorphic model observers trained wit...
PURPOSE: To evaluate performance and the clinical impact of a novel machine learning based vessel-su...
The distribution and abundance of Phlebotomus papatasi, the primary vector of zoonotic cutaneous lei...
PURPOSE: This study aimed to develop mathematical tools to predict the likelihood of recurrence afte...
BACKGROUND/PURPOSE: Remineralization efficacy for early caries lesion may change when fluoride varni...
Skin diseases have a serious impact on people's life and health. Current research proposes an effici...
The identification of compounds for dissecting biological functions and the development of novel dru...
BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to qua...
In this paper, we present a novel framework for dermoscopy image recognition via both a deep learnin...
OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcin...
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in ev...
This paper aims to address the segmentation and classification of lytic and sclerotic metastatic les...
BACKGROUND: Over the past decade, new technologies, devices, and methods have been developed to assi...
Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (...
Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the process ...
Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imagin...
Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic Resonance Imag...