Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model.
- Published in:
- Journal of Digital Imaging, 2019, v. 32, n. 4, p. 665, doi. 10.1007/s10278-018-0148-x
- By:
- Publication type:
- Article
Works by Lee, Hyunkwang
Results: 7
1
2
A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection.
- Published in:
- Journal of Digital Imaging, 2018, v. 31, n. 4, p. 393, doi. 10.1007/s10278-017-0025-z
- By:
- Publication type:
- Article
3
Fully Automated Deep Learning System for Bone Age Assessment.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 427, doi. 10.1007/s10278-017-9955-8
- By:
- Publication type:
- Article
4
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 487, doi. 10.1007/s10278-017-9988-z
- By:
- Publication type:
- Article
5
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction.
- Published in:
- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-51779-5
- By:
- Publication type:
- Article
6
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.
- Published in:
- Skeletal Radiology, 2019, v. 48, n. 2, p. 275, doi. 10.1007/s00256-018-3033-2
- By:
- Publication type:
- Article
7
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.
- Published in:
- 2018
- By:
- Publication type:
- journal article