Skip to main navigation
Skip to search
Skip to main content
National Central University Home
Help & FAQ
English
中文
Home
Scholar Profiles
Research Units
Projects
Research output
Datasets
Prizes
Activities
Press / Media
Impacts
Search by expertise, name or affiliation
Development of Medical Imaging and Additive Manufacturing Technology Based on Cloud Computing for the Planning of Orthopaedic Surgery( III )
賴, 景義
(PI)
Department of Mechanical Engineering
Overview
Fingerprint
Research output
(3)
Project Details
Status
Finished
Effective start/end date
1/11/17
→
31/10/18
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Deep Learning
Medicine & Life Sciences
100%
Calcaneus
Medicine & Life Sciences
58%
Bone
Engineering & Materials Science
49%
Tomography
Engineering & Materials Science
34%
Deep learning
Engineering & Materials Science
32%
Defects
Engineering & Materials Science
24%
Bone Fractures
Medicine & Life Sciences
23%
Datasets
Medicine & Life Sciences
12%
Research output
Research output per year
2019
2019
2021
2021
3
Article
Research output per year
Research output per year
Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques
Aghnia Farda, N.
,
Lai, J. Y.
,
Wang, J. C.
,
Lee, P. Y.
,
Liu, J. W.
&
Hsieh, I. H.
,
Mar 2021
,
In:
Injury.
52
,
3
,
p. 616-624
9 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Deep Learning
100%
Calcaneus
23%
Computer Systems
21%
Sample Size
16%
Datasets
14%
10
Scopus citations
Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images
Pranata, Y. D.
,
Wang, K. C.
,
Wang, J. C.
,
Idram, I.
,
Lai, J. Y.
,
Liu, J. W.
&
Hsieh, I. H.
,
Apr 2019
,
In:
Computer Methods and Programs in Biomedicine.
171
,
p. 27-37
11 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Deep Learning
100%
Calcaneus
92%
Tomography
69%
Deep learning
64%
Bone Fractures
47%
49
Scopus citations
Development of Mesh-Defect Removal Algorithm to Enhance the Fitting of 3D-Printed Parts for Comminuted Bone Fractures
Idram, I.
,
Bintara, R. D.
,
Lai, J. Y.
,
Essomba, T.
&
Lee, P. Y.
,
1 Dec 2019
,
In:
Journal of Medical and Biological Engineering.
39
,
6
,
p. 855-873
19 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Bone
100%
Defects
70%
4
Scopus citations