12 results  1 of 1 

1 Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning
Ludovic Amruthalingam, Oliver Buerzle, Philippe Gottfrois, Alvaro Gonzalez Jimenez, Anastasia Roth, Thomas Koller, Marc Pouly, Alexander A. Navarini
Healthc Inform Res.2022;28(3):222-230.   Published online 2022 July 31     DOI: http://dx.doi.org/10.4258/hir.2022.28.3.222
      
2 Deep learning for computer-assisted diagnosis of hereditary diffuse gastric cancer
Sean A. Rasmussen, Thomas Arnason, Weei-Yuarn Huang
J Pathol Transl Med.2021;55(2):118-124.   Published online 2021 January 22     DOI: http://dx.doi.org/10.4132/jptm.2020.12.22
      
3 Discovering hidden information in biosignals from patients using artificial intelligence
Dukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, Tae Young Kim, Chang Ho Han
Korean J Anesthesiol.2020;73(4):275-284.   Published online 2020 January 16     DOI: http://dx.doi.org/10.4097/kja.19475
      
4 유방외과 의사와 S-DetectTM의 유방종괴에 대한 진단수행도 비교
Haram Kim, Eiyoung Kwon, Youngsam Park, Eunhye Choi, Mijin Kim, Cheolseung Kim
J Surg Ultrasound.2019;6(2):58-63.   Published online 2019 November 30     DOI: http://dx.doi.org/10.46268/jsu.2019.6.2.58
      
5 Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images
Ji-Wook Jeong, Donghoon Yu, Sooyeul Lee, Jung Min Chang
Healthc Inform Res.2016;22(4):293-298.   Published online 2016 October 31     DOI: http://dx.doi.org/10.4258/hir.2016.22.4.293
      
6 Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans
Young Jae Kim, Seung Hyun Lee, Chang Min Park, Kwang Gi Kim
Healthc Inform Res.2016;22(4):305-315.   Published online 2016 October 31     DOI: http://dx.doi.org/10.4258/hir.2016.22.4.305
      
7 Breast Cancer Detection in a Screening Population: Comparison of Digital Mammography, Computer-Aided Detection Applied to Digital Mammography and Breast Ultrasound
Kyu Ran Cho, Bo Kyoung Seo, Ok Hee Woo, Sung Eun Song, Jungsoon Choi, Shin Young Whang, Eun Kyung Park, Ah Young Park, Hyeseon Shin, Hwan Hoon Chung
J Breast Cancer.2016;19(3):316-323.   Published online 2016 September 23     DOI: http://dx.doi.org/10.4048/jbc.2016.19.3.316
      
8 New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
Young Jae Kim, Chang Bu Jeong, Jeong-Min Hwang, Hee Kyung Yang, Seung Hyun Lee, Kwang Gi Kim
Healthc Inform Res.2014;20(3):191-198.   Published online 2014 July 31     DOI: http://dx.doi.org/10.4258/hir.2014.20.3.191
      
9 Detection of Breast Cancer in Asymptomatic and Symptomatic Groups Using Computer-Aided Detection with Full-Field Digital Mammography
Chang Suk Park, Na Young Jung, Kijun Kim, Hyun Seouk Jung, Kyung-Myung Sohn, Se Jeong Oh
J Breast Cancer.2013;16(3):322-328.   Published online 2013 September 30     DOI: http://dx.doi.org/10.4048/jbc.2013.16.3.322
      
10 The combination of a histogram-based clustering algorithm and support vector machine for the diagnosis of osteoporosis
Muthu Subash Kavitha, Akira Asano, Akira Taguchi, Min-Suk Heo
Imaging Sci Dent.2013;43(3):153-161.   Published online 2013 September 23     DOI: http://dx.doi.org/10.5624/isd.2013.43.3.153
      
11 In-vitro study on the accuracy of a simple-design CT-guided stent for dental implants
Young-June Huh, Bo-Ram Choi, Kyung-Hoe Huh, Won-Jin Yi, Min-Suk Heo, Sam-Sun Lee, Soon-Chul Choi
Imaging Sci Dent.2012;42(3):139-146.   Published online 2012 September 21     DOI: http://dx.doi.org/10.5624/isd.2012.42.3.139
      
12 Image Analysis Quantifying Microvessel Density in Renal Cell Carcinoma
Hyun Ju Choi
J Korean Soc Med Inform.2009;15(2):217-225.   Published online 2009 June 30     DOI: http://dx.doi.org/10.4258/jksmi.2009.15.2.217
      

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