- Understanding and Application of Multi-Task Learning in Medical Artificial Intelligence
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Kim YJ, Kim KG
- KMID: 2536807
- J Korean Soc Radiol.
- 2022 Nov;83(6):1208-1218.
- doi: 10.3348/jksr.2022.0155
In the medical field, artificial intelligence has been used in various ways with many developments. However, most artificial intelligence technologies are developed so that one model can perform only one... -
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- Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning
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Kim YJ, Kim KG
- KMID: 2524805
- Yonsei Med J.
- 2022 Jan;63(S1):63-73.
- doi: 10.3349/ymj.2022.63.S63
Purpose: In this paper, we propose deep-learning methodology with which to enhance the mass differentiation performance of convolutional neural network (CNN)-based architecture. Materials and Methods: We differentiated breast mass lesions from... -
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- Deep learning based pectoral muscle segmentation on Mammographic Image Analysis Society (MIAS) mammograms
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Kim YJ, Yoo EY, Kim KG
- KMID: 2517763
- Precis Future Med.
- 2021 Jun;5(2):77-82.
- doi: 10.23838/pfm.2020.00170
Purpose: The purpose of this study was to propose a deep learning-based method for automated detection of the pectoral muscle, in order to reduce misdetection in a computer- aided diagnosis... -
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- Video Archiving and Communication System (VACS): A Progressive Approach, Design, Implementation, and Benefits for Surgical Videos
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Kim D, Hwang W, Bae J, Park H, Kim KG
- KMID: 2515919
- Healthc Inform Res.
- 2021 Apr;27(2):162-167.
- doi: 10.4258/hir.2021.27.2.162
Objectives: As endoscopic, laparoscopic, and robotic surgical procedures become more common, surgical videos are increasingly being treated as records and serving as important data sources for education, research, and developing... -
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- Development of an Optimized Deep Learning Model for Medical Imaging
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Kim YJ, Kim KG
- KMID: 2509094
- J Korean Soc Radiol.
- 2020 Nov;81(6):1274-1289.
- doi: 10.3348/jksr.2020.0171
Deep learning has recently become one of the most actively researched technologies in the field of medical imaging. The availability of sufficient data and the latest advances in algorithms are... -
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- Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
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Yoon J, Kim KG, Kim YJ, Lim S, Park YH, Kim D, Kang HT, Lee DH
- KMID: 2508624
- Healthc Inform Res.
- 2020 Oct;26(4):321-327.
- doi: 10.4258/hir.2020.26.4.321
Objectives: Changes in the pancreatic volume (PV) are useful as potential clinical markers for some pancreatic-related diseases. The objective of this study was to measure the volume of the pancreas... -
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- Deep Learning in Thyroid Ultrasonography to Predict Tumor Recurrence in Thyroid Cancers
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Kil J, Kim KG, Kim YJ, Koo HR, Park JS
- KMID: 2507431
- J Korean Soc Radiol.
- 2020 Sep;81(5):1164-1174.
- doi: 10.3348/jksr.2019.0147
Purpose: To evaluate a deep learning model to predict recurrence of thyroid tumor using preoperative ultrasonography (US). Materials and Methods: We included representative images from 229 US-based patients (male:female = 42:187;... -
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- Design of Automatic Hand Sanitizer System Compatible with Various Containers
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Lee J, Lee JY, Cho SM, Yoon KC, Kim YJ, Kim KG
- KMID: 2505266
- Healthc Inform Res.
- 2020 Jul;26(3):243-247.
- doi: 10.4258/hir.2020.26.3.243
Objectives: Demand for hand sanitizers has surged since the coronavirus broke out and spread around the world. Hand sanitizers are usually applied by squirting the sanitizer liquid when one presses... -
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- Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland
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Shin I, Kim YJ, Han K, Lee E, Kim HJ, Shin JH, Moon HJ, Youk JH, Kim KG, Kwak JY
- KMID: 2503193
- Ultrasonography.
- 2020 Jul;39(3):257-265.
- doi: 10.14366/usg.19069
Purpose: This study was conducted to evaluate the diagnostic performance of machine learning in differentiating follicular adenoma from carcinoma using preoperative ultrasonography (US). Methods: In this retrospective study, preoperative US images... -
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- Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies
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Chung Y, Shin S, Shim H, Sohn JY, Lee DE, Lee H, Eom HS, Kim KG, Kong SY
- KMID: 2470327
- Ann Lab Med.
- 2020 Jul;40(4):312-316.
- doi: 10.3343/alm.2020.40.4.312
Angiogenesis is important for the proliferation and survival of multiple myeloma (MM) cells. Bone marrow (BM) microvessel density (MVD) is a useful marker of angiogenesis and an increase in MVD... -
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- Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images
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Kim YJ, Ganbold B, Kim KG
- KMID: 2469401
- Healthc Inform Res.
- 2020 Jan;26(1):61-67.
- doi: 10.4258/hir.2020.26.1.61
OBJECTIVES: Back pain, especially lower back pain, is experienced in 60% to 80% of adults at some points during their lives. Various studies have found that lower back pain is... -
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- Feasibility of a New Desktop Motion Analysis System with a Video Game Console for Assessing Various Three-Dimensional Wrist Motions
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Kim KG, Park CS, Jeon SH, Jung EY, Ha J, Lee S
- KMID: 2426533
- Clin Orthop Surg.
- 2018 Dec;10(4):468-478.
- doi: 10.4055/cios.2018.10.4.468
BACKGROUND: The restriction of wrist motion results in limited hand function, and the evaluation of the range of wrist motion is related to the evaluation of wrist function. To analyze... -
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- A Novel Implantable Cerebrospinal Fluid Reservoir : A Pilot Study
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Byun YH, Gwak HS, Kwon JW, Kim KG, Shin SH, Lee SH, Yoo H
- KMID: 2420073
- J Korean Neurosurg Soc.
- 2018 Sep;61(5):640-644.
- doi: 10.3340/jkns.2018.0098
OBJECTIVE: The purpose of this pilot study was to examine the safety and function of the newly developed cerebrospinal fluid (CSF) reservoir called the V-Port. METHODS: The newly developed V-Port consists... -
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- Molecular Epidemiology of Viral Conjunctivitis in the Southern Region of South Korea, 2012–2016
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Park DW, Kim MJ, Kim KG, Cho SJ, Park HJ, Shin JH, Ha YD, Seo MH, Kim JH, Lee Y, Park MD, Yoon HM, Kim ES, Hong YJ, Kee H, Chung JK
- KMID: 2414856
- J Bacteriol Virol.
- 2018 Jun;48(2):59-66.
- doi: 10.4167/jbv.2018.48.2.59
Epidemic keratoconjunctivitis (EKC) and acute hemorrhagic conjunctivitis (AHC) are common diseases caused by human adenoviruses (HAdV) and enteroviruses, respectively, in South Korea. However, there are limited studies on the molecular... -
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- Applying Deep Learning in Medical Images: The Case of Bone Age Estimation
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Lee JH, Kim KG
- KMID: 2403300
- Healthc Inform Res.
- 2018 Jan;24(1):86-92.
- doi: 10.4258/hir.2018.24.1.86
OBJECTIVES: A diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information... -
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- A Fast 3-Dimensional Magnetic Resonance Imaging Reconstruction for Surgical Planning of Uterine Myomectomy
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Lee SR, Kim YJ, Kim KG
- KMID: 2399407
- J Korean Med Sci.
- 2018 Jan;33(2):e12.
- doi: 10.3346/jkms.2018.33.e12
BACKGROUND: Uterine myoma is the most common benign gynecologic tumor in reproductive-aged women. During myomectomy for women who want to preserve fertility, it is advisable to detect and remove all... -
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- Efficacy of JOINS on Cartilage Protection in Knee Osteoarthritis: Prospective Randomized Controlled Trial
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Kim JI, Choi JY, Kim KG, Lee MC
- KMID: 2389258
- Knee Surg Relat Res.
- 2017 Sep;29(3):217-224.
- doi: 10.5792/ksrr.17.004
PURPOSE: In this study, we compared the clinical efficacy of JOINS (SKI306X, SK Chemicals) with placebo on cartilage protection using magnetic resonance imaging (MRI). MATERIALS AND METHODS: Sixty-nine patients were randomized... -
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- Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer
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Yoo JS, Chung SH, Lim MC, Kim YJ, Kim KG, Hwang JH, Kim YH
- KMID: 2413457
- J Gynecol Oncol.
- 2017 Mar;28(2):e18.
- doi: 10.3802/jgo.2017.28.e18
OBJECTIVE: To develop an algorithmic quantitative skin and subcutaneous tissue volume measurement protocol for lower extremity lymphedema (LEL) patients using computed tomography (CT), to verify the usefulness of the measurement... -
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- Correction: Methods of Hematoxylin and Eosin Image Information Acquisition and Optimization in Confocal Microscopy
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Yoon WB, Kim H, Kim KG, Choi Y, Chang HJ, Sohn DK
- KMID: 2357391
- Healthc Inform Res.
- 2016 Oct;22(4):355-355.
- doi: 10.4258/hir.2016.22.4.355
In the article, Methods of Hematoxylin and Erosin Image Information Acquisition and Optimization in Confocal Microscopy, there was a typographical error in the title. -
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- Book Review: Deep Learning
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Kim KG
- KMID: 2357390
- Healthc Inform Res.
- 2016 Oct;22(4):351-354.
- doi: 10.4258/hir.2016.22.4.351
No abstract available. -
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