Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device
10.3390/bios11060182
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/206465 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
id |
sg-nus-scholar.10635-206465 |
---|---|
record_format |
dspace |
spelling |
sg-nus-scholar.10635-2064652024-11-15T07:25:17Z Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device Chen, David Ho, Yvonne Sasa, Yuki Lee, Jieying Yen, Ching Chiuan Tan, Clement DIVISION OF INDUSTRIAL DESIGN SMART SYSTEMS INSTITUTE OPHTHALMOLOGY Assoc Prof Woon Teck Clement Tan Science & Technology Physical Sciences Technology Chemistry, Analytical Nanoscience & Nanotechnology Instruments & Instrumentation Chemistry Science & Technology - Other Topics narrow angle screening portable machine learning smartphone ANGLE-CLOSURE GLAUCOMA NARROW ANGLES SINGAPORE CHINESE 10.3390/bios11060182 BIOSENSORS-BASEL 11 6 completed 2021-11-16T09:08:50Z 2021-11-16T09:08:50Z 2021-06-01 2021-11-15T10:51:47Z Article Chen, David, Ho, Yvonne, Sasa, Yuki, Lee, Jieying, Yen, Ching Chiuan, Tan, Clement (2021-06-01). Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device. BIOSENSORS-BASEL 11 (6). ScholarBank@NUS Repository. https://doi.org/10.3390/bios11060182 20796374 https://scholarbank.nus.edu.sg/handle/10635/206465 en MDPI Elements |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Science & Technology Physical Sciences Technology Chemistry, Analytical Nanoscience & Nanotechnology Instruments & Instrumentation Chemistry Science & Technology - Other Topics narrow angle screening portable machine learning smartphone ANGLE-CLOSURE GLAUCOMA NARROW ANGLES SINGAPORE CHINESE |
spellingShingle |
Science & Technology Physical Sciences Technology Chemistry, Analytical Nanoscience & Nanotechnology Instruments & Instrumentation Chemistry Science & Technology - Other Topics narrow angle screening portable machine learning smartphone ANGLE-CLOSURE GLAUCOMA NARROW ANGLES SINGAPORE CHINESE Chen, David Ho, Yvonne Sasa, Yuki Lee, Jieying Yen, Ching Chiuan Tan, Clement Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
description |
10.3390/bios11060182 |
author2 |
DIVISION OF INDUSTRIAL DESIGN |
author_facet |
DIVISION OF INDUSTRIAL DESIGN Chen, David Ho, Yvonne Sasa, Yuki Lee, Jieying Yen, Ching Chiuan Tan, Clement |
format |
Article |
author |
Chen, David Ho, Yvonne Sasa, Yuki Lee, Jieying Yen, Ching Chiuan Tan, Clement |
author_sort |
Chen, David |
title |
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
title_short |
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
title_full |
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
title_fullStr |
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
title_full_unstemmed |
Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device |
title_sort |
machine learning-guided prediction of central anterior chamber depth using slit lamp images from a portable smartphone device |
publisher |
MDPI |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/206465 |
_version_ |
1821203808039993344 |