Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sumei Ma"'
Autor:
Jinliang Pan, Tongwei Wu, Chao Ma, Yangfan Wu, Yi Zheng, Kui Hu, Luye Sun, Sumei Ma, Mengxi Liu, Yanning Zhang, Xiaohui Qiu
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-8 (2023)
Abstract The epitaxial growth of wafer-scale single-crystalline two-dimensional materials requires precise control over the crystallographic orientation and morphology of clusters formed during the initial stages of nucleation. However, there is limi
Externí odkaz:
https://doaj.org/article/c87e66770faf41828b881f46a4137817
Publikováno v:
Journal of Medical Ultrasound, Vol 30, Iss 2, Pp 149-152 (2022)
We report a case of giant well-differentiated esophageal liposarcoma in a Chinese patient. Liposarcoma is a common soft tissue malignant tumor that usually arises in the lower extremities, trunk, and the retroperitoneum, but it is very rare that lipo
Externí odkaz:
https://doaj.org/article/825ac6ca7c8643e78bcc0fe904281285
Publikováno v:
Archives of Endocrinology and Metabolism, Vol 64, Iss 6, Pp 803-809 (2020)
ABSTRACT Objective: The objective of the study was to develop an association between clinicopathologic and sonographic features of patients with papillary thyroid microcarcinoma and the prevalence of lymph node metastasis. Subjects and methods: Clini
Externí odkaz:
https://doaj.org/article/2d027cced49b43bc8034171a8f3f4df8
Publikováno v:
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Diagnosis of giant cell arteritis by temporal artery biopsy is time-consuming and visual loss lies in the first week after its diagnosis. The purpose of the study was to test the hypothesis that ultrasound can reduce the risk of o
Externí odkaz:
https://doaj.org/article/5108f66557664b9f9695a44216a7360c
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/67733f16c37942d998740b901e7c2392
Autor:
Yunxia Shi, Sumei Ma, Wei Yan, Xia Kong, Xiuxiu Tian, Shuxin Liang, Guang Lu, Jing Yang, Qingyun Liu
Publikováno v:
ChemNanoMat.
An Optimized Radiomics Model Based on Automated Breast Volume Scan Images to Identify Breast Lesions
Publikováno v:
Journal of Ultrasound in Medicine. 41:1643-1655
OBJECTIVES To develop and test an optimized radiomics model based on multi-planar automated breast volume scan (ABVS) images to identify malignant and benign breast lesions. METHODS Patients (n = 200) with breast lesions who underwent ABVS examinatio
Publikováno v:
Inorganic Chemistry Communications. 152:110664
Publikováno v:
Solid State Sciences. 138:107135
Publikováno v:
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in MedicineReferences. 41(7)
To develop and test an optimized radiomics model based on multi-planar automated breast volume scan (ABVS) images to identify malignant and benign breast lesions.Patients (n = 200) with breast lesions who underwent ABVS examinations were included. Fo