Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Huoling Luo"'
Publikováno v:
Computer Assisted Surgery, Vol 29, Iss 1 (2024)
AbstractThe real-time requirement for image segmentation in laparoscopic surgical assistance systems is extremely high. Although traditional deep learning models can ensure high segmentation accuracy, they suffer from a large computational burden. In
Externí odkaz:
https://doaj.org/article/5d2817457b9843299f1d239c0dcb5e00
Autor:
Baochun He, Dalong Yin, Xiaoxia Chen, Huoling Luo, Deqiang Xiao, Mu He, Guisheng Wang, Chihua Fang, Lianxin Liu, Fucang Jia
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconvention
Externí odkaz:
https://doaj.org/article/3c62fd767e564528817c671573a9db94
Publikováno v:
Healthcare Technology Letters (2019)
Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in
Externí odkaz:
https://doaj.org/article/abf79e64a1e6467aa603d63e9edd9b29
Autor:
Baochun He, Sheng Zhao, Yanmei Dai, Jiaqi Wu, Huoling Luo, Jianxi Guo, Zhipeng Ni, Tianchong Wu, Fangyuan Kuang, Huijie Jiang, Yanfang Zhang, Fucang Jia
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ae61e2dc78c9afd68b360554b85f83
https://doi.org/10.1002/mp.16396
https://doi.org/10.1002/mp.16396
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc74aa2ad5ff83db26476ef6da618679
https://doi.org/10.1007/s11548-023-02846-w
https://doi.org/10.1007/s11548-023-02846-w
Autor:
Deqiang Xiao, Hongrui Guo, Shuo Zhou, Baochun He, Dalong Yin, Xiao Guo, Shuxun Liu, Chihua Fang, Linmao Sun, Shuhang Liang, Lianxin Liu, Huoling Luo, Xiaoxia Chen, Fucang Jia, Fanzheng Meng, Wei Cai, Wenyu Zhang, Shugeng Zhang
Publikováno v:
Surgical Laparoscopy, Endoscopy & Percutaneous Techniques. 31:679-684
Background Clinically, the total and residual liver volume must be accurately calculated before major hepatectomy. However, liver volume might be influenced by pneumoperitoneum during surgery. Changes in liver volume change also affect the accuracy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c036fb14203d34b25e1001de5a75c36
https://doi.org/10.1097/sle.0000000000000973
https://doi.org/10.1097/sle.0000000000000973
Publikováno v:
Computers in biology and medicine. 140
Learning-based methods have achieved remarkable performances on depth estimation. However, the premise of most self-learning and unsupervised learning methods is built on rigorous, geometrically-aligned stereo rectification. The performances of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8002285abafc32459aad2bf2530205
https://pubmed.ncbi.nlm.nih.gov/34891097
https://pubmed.ncbi.nlm.nih.gov/34891097
Autor:
Fucang Jia, Dalong Yin, Baochun He, Lianxin Liu, Huoling Luo, Chihua Fang, Mu He, Xiaoxia Chen, Deqiang Xiao, Guisheng Wang
Publikováno v:
BMC Medical Imaging
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-13 (2021)
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-13 (2021)
Background Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9390befb9976ecc2d57c1fcdd59cccd
http://europepmc.org/articles/PMC8611902
http://europepmc.org/articles/PMC8611902
Autor:
Qingmao Hu, Yong Li, Xuejun Guo, Fucang Jia, Huimin Zheng, Huoling Luo, Yanfang Zhang, Deqiang Xiao
Publikováno v:
Abdominal Radiology. 42:1993-2000
To compare the accuracy of a Kinect-Optical navigation system with an electromagnetic (EM) navigation system for percutaneous liver needle intervention. Five beagles with nine artificial tumors were used for validation. The Veran IG4 EM navigation sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::024cb65c8360abd669b4efcc38d17913
https://doi.org/10.1007/s00261-017-1083-x
https://doi.org/10.1007/s00261-017-1083-x
Publikováno v:
Healthcare Technology Letters (2019)
Healthcare Technology Letters
Healthcare Technology Letters
Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e655b550411bd5bad3a59567031403e
https://pubmed.ncbi.nlm.nih.gov/32038849
https://pubmed.ncbi.nlm.nih.gov/32038849