Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yunbi Liu"'
Publikováno v:
IEEE Access, Vol 9, Pp 59835-59847 (2021)
Locating lung field is a critical and fundamental processing stage in the automated analysis of chest radiographs (CXRs) for pulmonary disorders. During the routine examination of CXRs, using both frontal and lateral CXRs can benefit clinical diagnos
Externí odkaz:
https://doaj.org/article/3c5fc9931ac244c7ab73db9bc0f38571
Autor:
Yingyin Chen, Xiaofang Gou, Xiuxia Feng, Yunbi Liu, Genggeng Qin, Qianjin Feng, Wei Yang, Wufan Chen
Publikováno v:
IEEE Access, Vol 7, Pp 8346-8357 (2019)
Bone suppression of chest radiographs (CXRs) is potentially useful for diagnosing lung diseases for radiologists and computer–aided diagnosis. This paper presents a cascaded convolutional network model in wavelet domain (Wavelet-CCN) for bone suppr
Externí odkaz:
https://doaj.org/article/7fc3f6f38bce482cb8c63cfc661e2bef
Autor:
Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen
Publikováno v:
Applied Bionics and Biomechanics, Vol 2019 (2019)
Background and Objective. When radiologists diagnose lung diseases in chest radiography, they can miss some lung nodules overlapped with ribs or clavicles. Dual-energy subtraction (DES) imaging performs well because it can produce soft tissue images,
Externí odkaz:
https://doaj.org/article/487eff434d37436e98ed5c26eac5d282
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Yunbi Liu, Fengxia Zeng, Mengwei Ma, Bowen Zheng, Zhaoqiang Yun, Genggeng Qin, Wei Yang, Qianjin Feng
Publikováno v:
Computerized Medical Imaging and Graphics. 105:102186
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa057ec1347c9be980868d78bfa0188
https://doi.org/10.1007/978-3-031-16440-8_64
https://doi.org/10.1007/978-3-031-16440-8_64
Autor:
Wufan Chen, Yunbi Liu, Qianjin Feng, Xiuxia Feng, Xiaofang Gou, Wei Yang, Genggeng Qin, Yingyin Chen
Publikováno v:
IEEE Access, Vol 7, Pp 8346-8357 (2019)
Bone suppression of chest radiographs (CXRs) is potentially useful for diagnosing lung diseases for radiologists and computer–aided diagnosis. This paper presents a cascaded convolutional network model in wavelet domain (Wavelet-CCN) for bone suppr
Publikováno v:
Med Image Anal
Structural magnetic resonance imaging (MRI) has shown great clinical and practical values in computer-aided brain disorder identification. Multi-site MRI data increase sample size and statistical power, but are susceptible to inter-site heterogeneity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822ccbd190d75c045e61b300ecddb258
https://europepmc.org/articles/PMC8184627/
https://europepmc.org/articles/PMC8184627/
Publikováno v:
Predictive Intelligence in Medicine ISBN: 9783030876012
PRIME@MICCAI
PRIME@MICCAI
Early tuberculosis (TB) screening through chest X-rays (CXRs) is essential for timely detection and treatment of the disease. Previous studies have shown that texture abnormalities in CXRs can be enhanced by bone suppression techniques, which may pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe8091085ac067047fc605e570aefd6
https://doi.org/10.1007/978-3-030-87602-9_6
https://doi.org/10.1007/978-3-030-87602-9_6
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872397
MICCAI (5)
MICCAI (5)
Subjective cognitive decline (SCD) is a preclinical phase of Alzheimer’s disease (AD) which occurs before the deficits could be detected by cognitive tests. It is highly desired to predict the progress of SCD for possible intervention of AD-related
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c232ad8c06f59be391996e9110272a
https://doi.org/10.1007/978-3-030-87240-3_24
https://doi.org/10.1007/978-3-030-87240-3_24