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Transfer learning in a deep convolutional neural network for implant fixture classification: A pilot study

Kim HS, Ha EG, Kim YH, Jeon KJ, Lee C, Han SS

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...
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Differential Diagnosis of Bacterial Cervical Lymphadenitis and Kawasaki Disease in Patients with Fever and Cervical Lymphadenopathy

Jang H, Ha EG, Kim HJ, Lee TJ

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...
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A fully deep learning model for the automatic identification of cephalometric landmarks

Kim YH, Lee C, Ha EG, Choi YJ, Han SS

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...
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Synthesis of T2-weighted images from proton density images using a generative adversarial network in a temporomandibular joint magnetic resonance imaging protocol

Lee C, Ha EG, Choi YJ, Jeon KJ, Han SS

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...
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