Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Longchao Li"'
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeThe objective of this study was to conduct a meta-analysis comparing the diagnostic efficacy of models based on diffusion-weighted imaging (DWI)-MRI, dynamic contrast enhancement (DCE)-MRI, and combination models (DCE and DWI) in distinguishin
Externí odkaz:
https://doaj.org/article/de96210ff6b54ad8a31b19384bfbfb57
An MRI-based radiomics nomogram in predicting histologic grade of non-muscle-invasive bladder cancer
Autor:
Longchao Li, Jing Zhang, Xia Zhe, Hongzhi Chang, Min Tang, Xiaoyan Lei, Li Zhang, Xiaoling Zhang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundNon-muscle-invasive bladder cancer (NMIBC) is categorized into high and low grades with different clinical treatments and prognoses. Thus, accurate preoperative evaluation of the histologic NMIBC grade through imaging techniques is essentia
Externí odkaz:
https://doaj.org/article/6afe8496684540998661657de47655a2
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 897-904 (2021)
This paper combines improved GrowCut and Zernik feature extraction and ensemble learning techniques such as KNN, SVM, and MLP algorithms to prostate cancer detection and lesion segmentation in MRI. We use improved GrowCut algorithm for segmentation o
Externí odkaz:
https://doaj.org/article/d1e16ecf7cf14d419f33ef27ccf65694
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveThe aim of this study was to perform a meta‐analysis to evaluate the diagnostic performance of machine learning(ML)-based radiomics of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) DCE-MRI in predicting axillary lymph no
Externí odkaz:
https://doaj.org/article/02c158c332f84c72b839cde04ad5c317
Autor:
Xia Zhe, Xiaoling Zhang, Li Chen, Li Zhang, Min Tang, Dongsheng Zhang, Longchao Li, Xiaoyan Lei, Chenwang Jin
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
SubjectsVestibular migraine (VM) is the most common neurological cause of vertigo in adults. Previous neuroimaging studies have reported structural alterations in areas associated with pain and vestibular processing. However, it is unclear whether al
Externí odkaz:
https://doaj.org/article/e2013155fa6d40ea8e9095db2e945b63
Background: To compare biparametric (bp) MRI radiomics signatures and traditional MRI model for the preoperative prediction of bladder cancer (BCa) grade. Methods: This retrospective study included 255 consecutive patients with pathologically confirm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41c3b68d1f2d3046b3d58bf17442fdc4
https://doi.org/10.21203/rs.3.rs-2875307/v1
https://doi.org/10.21203/rs.3.rs-2875307/v1
Publikováno v:
Lubrication Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0fb00e82c07c4a9996411b083ad8e0
https://doi.org/10.1002/ls.1641
https://doi.org/10.1002/ls.1641
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 897-904 (2021)
This paper combines improved GrowCut and Zernik feature extraction and ensemble learning techniques such as KNN, SVM, and MLP algorithms to prostate cancer detection and lesion segmentation in MRI. We use improved GrowCut algorithm for segmentation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a883483474e406dbc4b7dc560081d5
http://www.sciencedirect.com/science/article/pii/S1110016820305354
http://www.sciencedirect.com/science/article/pii/S1110016820305354
Publikováno v:
Contrast Media & Molecular Imaging, Vol 2021 (2021)
Contrast Media & Molecular Imaging
Contrast Media & Molecular Imaging
Purpose. This study aimed to investigate the value of biparametric magnetic resonance imaging (bp-MRI)-based radiomics signatures for the preoperative prediction of prostate cancer (PCa) grade compared with visual assessments by radiologists based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::103146b0f560042bba3747f58ad6a116
Publikováno v:
European Journal of Radiology. 151:110243
To evaluate the ability of preoperative MRI-based radiomic features in predicting lymph node metastasis (LNM) in patients with cervical cancer.PubMed, Embase, Web of Science, Cochrane Library databases, and four Chinese databases were searched to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d821d2461728f99ddbcaabd06d3d5a52
https://doi.org/10.1016/j.ejrad.2022.110243
https://doi.org/10.1016/j.ejrad.2022.110243