KoreaMed, a service of the Korean Association of Medical Journal Editors (KAMJE), provides access to articles published in Korean medical, dental, nursing, nutrition and veterinary journals. KoreaMed records include links to full-text content in Synapse and publisher web sites.
Purpose
This study aimed to evaluate the performance of transfer learning in a deep convolutional neural network for classifying implant fixtures.
Materials and Methods
Periapical radiographs of implant fixtures obtained using the Superline...
PURPOSE: This study identified the characteristics differentiating node-first presentation of Kawasaki disease (NFKD) from bacterial cervical lymphadenitis (BCL) and typical Kawasaki disease (KD).
METHODS: From July 2007 to June 2015, the...
Purpose
This study aimed to propose a fully automatic landmark identification model based on a deep learning algorithm using real clinical data and to verify its accuracy considering inter-examiner variability.
Materials and...
Purpose
This study proposed a generative adversarial network (GAN) model for T2-weighted image (WI) synthesis from proton density (PD)-WI in a temporomandibular joint (TMJ) magnetic resonance imaging (MRI) protocol.
Materials and Methods
From...