Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zhen-You Lian"'
Publikováno v:
Diagnostics, Vol 14, Iss 2, p 191 (2024)
Automatically segmenting specific tissues or structures from medical images is a straightforward task for deep learning models. However, identifying a few specific objects from a group of similar targets can be a challenging task. This study focuses
Externí odkaz:
https://doaj.org/article/f4578b600eac428fa1b8241fe1b477c5
Autor:
Cheng-Hung Chuang, Chih-Yang Lin, Yuan-Yu Tsai, Zhen-You Lian, Hong-Xia Xie, Chih-Chao Hsu, Chung-Lin Huang
Publikováno v:
IEEE Access, Vol 7, Pp 117978-117985 (2019)
Precise vertebral segmentation provides the basis for spinal image analyses and interventions, such as vertebral compression fracture detection and other abnormalities. Deep learning is a popular and useful paradigm for medical image process. In this
Externí odkaz:
https://doaj.org/article/4ae7a56b0f3a4928918caddc71abea10
Autor:
Zhen-You Lian, 連振佑
101
This thesis presents a depth estimation method based on dark channel prior and mean shift algorithms to construct a depth map from a single 2D image of an outdoor scene for 3D display applications. There are three main steps in our method. T
This thesis presents a depth estimation method based on dark channel prior and mean shift algorithms to construct a depth map from a single 2D image of an outdoor scene for 3D display applications. There are three main steps in our method. T
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/26001529504456993391
Autor:
SUNG-TAI WE, CHIEN-Yu Le, CHIn-LUNG LIN, YI-CHI HUANG, JUI-CHI CHEN, ZHEN-YOU LIAN, CHENG-HUNG CHUANG
Publikováno v:
Journal of Information Science & Engineering; May2024, Vol. 40 Issue 3, p495-505, 11p
Publikováno v:
ICKII
The automatic segmentation of intervertebral discs from medical images is an important task in an intelligent clinical system. In this study, a deep learning model for automatic intervertebral disc segmentation based on MultiResUNet is presented. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3f59ebaf4b152f572c243248939894
https://doi.org/10.1109/ickii51822.2021.9574720
https://doi.org/10.1109/ickii51822.2021.9574720
Autor:
Hong-Xia Xie, Chih-Yang Lin, Yuan-Yu Tsai, Chung-Lin Huang, Chih-Chao Hsu, Cheng-Hung Chuang, Zhen-You Lian
Publikováno v:
IEEE Access, Vol 7, Pp 117978-117985 (2019)
Precise vertebral segmentation provides the basis for spinal image analyses and interventions, such as vertebral compression fracture detection and other abnormalities. Deep learning is a popular and useful paradigm for medical image process. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0abd92c57d9238c9b7ef59d7dec7db71
https://doi.org/10.1109/access.2019.2934325
https://doi.org/10.1109/access.2019.2934325
Publikováno v:
Proceedings of the 2020 3rd International Conference on Image and Graphics Processing.
The recognition of driving events from dashcam videos is an important task in the intelligent transportation field. In this study, we compute the feature values of the dashcam videos using the optical flow method. We also propose a seven-region segme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd81e7ca41b736b292a976ccbeb9ab6f
https://doi.org/10.1145/3383812.3383817
https://doi.org/10.1145/3383812.3383817
Autor:
Zhen-You Lian, Yu-Kai Cheng, Chih-Lung Lin, Tzu-Peng Lan, Jui-Chi Chen, Yi-Chi Huang, Cheng-Hung Chuang
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 4760, p 4760 (2021)
Journal of Clinical Medicine
Volume 10
Issue 20
Journal of Clinical Medicine
Volume 10
Issue 20
The automatic segmentation of intervertebral discs from medical images is an important task for an intelligent clinical system. In this study, a deep learning model based on the MultiResUNet model for the automatic segmentation of specific interverte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8283bccee4e3084f581db3626e7162f
https://doi.org/10.3390/jcm10204760
https://doi.org/10.3390/jcm10204760
Autor:
Cheng-Hung Chuang, Liu Pin-Hsien, Yuan-Yu Tsai, Chih-Yang Lin, Zhen-You Lian, Chung-Lin Huang
Publikováno v:
ISM
This paper proposes a method that utilizes two stages of deep learning networks for segmentation and recognition of spinal vertebrae. The first stage involves a y-shaped model that learns the basic shape of vertebrae to segment the spine. The second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56265548e646c070863674b3be5304c4
https://doi.org/10.1109/ism.2018.000-8
https://doi.org/10.1109/ism.2018.000-8
Publikováno v:
ICICS
This paper presents a depth estimation method based on dark channel prior to construct a depth map from a single 2D image of an outdoor scene for 3D display applications. The method computes a depth map using a series of image processing strategies s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd83793ebe667931aef6d78d08efe0c0
https://doi.org/10.1109/icics.2013.6782859
https://doi.org/10.1109/icics.2013.6782859