Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yinjin Ma"'
Publikováno v:
IEEE Access, Vol 8, Pp 67519-67529 (2020)
Potential risk of X-ray radiation from computed tomography (CT) has been a concern of the public. However, simply decreasing the dose will degrade quality of the CT images and compromise diagnostic performance. In this paper, we propose a noise learn
Externí odkaz:
https://doaj.org/article/d043591386b749a786cbe6b1614a9189
Publikováno v:
Journal of X-Ray Science and Technology. :1-17
BACKGROUND: Chest CT scan is an effective way to detect and diagnose COVID-19 infection. However, features of COVID-19 infection in chest CT images are very complex and heterogeneous, which make segmentation of COVID-19 lesions from CT images quite c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae51f6ba4c83003e1ae2ad417a08aa5
https://doi.org/10.3233/xst-230001
https://doi.org/10.3233/xst-230001
Publikováno v:
IEEE Access, Vol 8, Pp 67519-67529 (2020)
Potential risk of X-ray radiation from computed tomography (CT) has been a concern of the public. However, simply decreasing the dose will degrade quality of the CT images and compromise diagnostic performance. In this paper, we propose a noise learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0ca5de5c82ea9600d57135fe35d969a
https://doi.org/10.1109/access.2020.2986388
https://doi.org/10.1109/access.2020.2986388
Autor:
Yinjin Ma, Wenbing Zeng, Hongming Shan, Ran Yang, Peng Feng, Xiaodong Guo, Ge Wang, Peng He, Qing Lyu, Yiming Lei
Publikováno v:
Physics in medicine and biology. 66(24)
Coronavirus disease 2019 (COVID-19) has brought huge losses to the world, and it remains a great threat to public health. X-ray computed tomography (CT) plays a central role in the management of COVID-19. Traditional diagnosis with pulmonary CT image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::053ed9a663a2e064f90235577c7890de
https://pubmed.ncbi.nlm.nih.gov/34715678
https://pubmed.ncbi.nlm.nih.gov/34715678
Publikováno v:
Biomedical physicsengineering express. 7(4)
Segmenting lesion regions of Coronavirus Disease 2019 (COVID-19) from computed tomography (CT) images is a challenge owing to COVID-19 lesions characterized by high variation, low contrast between infection lesions and around normal tissues, and blur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b4d30e3d92e144f9d3fc917c4bee21
https://pubmed.ncbi.nlm.nih.gov/33979791
https://pubmed.ncbi.nlm.nih.gov/33979791
Publikováno v:
Nuclear Science and Techniques. 32
The widespread use of computed tomography (CT) in clinical practice has made the public focus on the cumulative radiation dose delivered to patients. Low-dose CT (LDCT) reduces the X-ray radiation dose, yet compromises quality and decreases diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30de03bf09d86994abbff5dea7cf19b
https://doi.org/10.1007/s41365-021-00874-2
https://doi.org/10.1007/s41365-021-00874-2
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813296817
A method based on convolutional neural network auto encoder-decoder for low dose lung CT image noise reduction is presented. This method integrated convolutional neural network, auto encoder-decoder, residual learning, parametric rectified linear uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0958ab88bdb2b4edd84a0e72de1a38ca
https://doi.org/10.1007/978-981-32-9682-4_68
https://doi.org/10.1007/978-981-32-9682-4_68
