Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chengfei Cai"'
Autor:
Rong-Cheng Tu, Xian-Ling Mao, Rong-Xin Tu, Binbin Bian, Chengfei Cai, Hongfa wang, Wei Wei, Heyan Huang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::977568ee77e4a95a5eeab0d6ce2fcb82
https://doi.org/10.1109/tkde.2022.3187023
https://doi.org/10.1109/tkde.2022.3187023
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aae799ac8a0eb131b484f75f87fbd98
https://doi.org/10.1109/tcsvt.2023.3251395
https://doi.org/10.1109/tcsvt.2023.3251395
Publikováno v:
ISBI
Adenocarcinoma is the most common cancer, the pathological diagnosis for it is of great significance. Specifically, the degree of gland differentiation is vital for defining the grade of adenocarcinoma. Following this domain knowledge, we encode glan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cfbc5bf5f78d005ecae7c99d2760528
https://doi.org/10.1109/isbi45749.2020.9098703
https://doi.org/10.1109/isbi45749.2020.9098703
Autor:
Anant Madabhushi, Bo Yao, Jun Xu, Zaiyi Liu, Xiangxue Wang, Li Liang, Yangshu Zhou, Chengfei Cai, Geyang Xu, Ke Zhao
Publikováno v:
Digital Pathology ISBN: 9783030239367
ECDP
ECDP
Tissue composition plays an essential role in diagnosis and prognosis of colorectal cancer (CRC). Studies have shown that the relative proportion of tissue composition on colorectal specimens is potentially prognostic of outcome in CRC patients. Some
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a16e0aea5e07f57a4791278e461de0c
https://doi.org/10.1007/978-3-030-23937-4_12
https://doi.org/10.1007/978-3-030-23937-4_12
Autor:
Zhaoyang Zhang, Zhuolin Zheng, Xiaojian Zhen, Haoji Hu, Chengfei Cai, Hangguan Shan, Chuankun Wang, Zhuojun Huang, Tony Q. S. Quek, Lu Yu
Publikováno v:
ICCS
Video surveillance systems or Internet of Multimedia Things (IoMT) are playing a more and more important role in our daily life. To obtain useful surveillance information timely and accurately, not only image recognition algorithm but also computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f05fb51a755a795844803dab111ce9a
https://doi.org/10.1109/iccs.2018.8689194
https://doi.org/10.1109/iccs.2018.8689194