Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zheling Meng"'
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high temporal resolution, low cost,
Externí odkaz:
https://doaj.org/article/1aa264e78bf94d48be05f98b55884cb6
Autor:
Yangyang Zhu, Zheling Meng, Xiao Fan, Yin Duan, Yingying Jia, Tiantian Dong, Yanfang Wang, Juan Song, Jie Tian, Kun Wang, Fang Nie
Publikováno v:
BMC Medicine, Vol 20, Iss 1, Pp 1-13 (2022)
Abstract Background Accurate diagnosis of unexplained cervical lymphadenopathy (CLA) using medical images heavily relies on the experience of radiologists, which is even worse for CLA patients in underdeveloped countries and regions, because of lack
Externí odkaz:
https://doaj.org/article/b346af0d571d42baa7344f8ecc7c4406
Publikováno v:
IEEE Transactions on Medical Imaging. 42:996-1008
Identifying squamous cell carcinoma and adenocarcinoma subtypes of metastatic cervical lymphadenopathy (CLA) is critical for localizing the primary lesion and initiating timely therapy. B-mode ultrasound (BUS), color Doppler flow imaging (CDFI), ultr
Autor:
Chong Zhang, Jionghui Gu, Yangyang Zhu, Zheling Meng, Tong Tong, Dongyang Li, Zhenyu Liu, Yang Du, Kun Wang, Jie Tian
Publikováno v:
Precision Clinical Medicine. 4:271-286
Medical imaging provides a comprehensive perspective and rich information for disease diagnosis. Combined with artificial intelligence technology, medical imaging can be further mined for detailed pathological information. Many studies have shown tha
Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).