Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xiaoben Jiang"'
Autor:
Xiaoben Jiang, Dawei Yang, Li Feng, Yu Zhu, Mingliang Wang, Yinzhou Feng, Chunxue Bai, Hao Fang
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionDeep learning-based methods can promote and save critical time for the diagnosis of pneumonia from computed tomography (CT) images of the chest, where the methods usually rely on large amounts of labeled data to learn good visual represen
Externí odkaz:
https://doaj.org/article/b98a9cbe96b24793b6bb0a321a281034
Autor:
Chandrasekhar Natarajan, Xiaoben Jiang, Angela Fago, Roy E Weber, Hideaki Moriyama, Jay F Storz
Publikováno v:
PLoS ONE, Vol 6, Iss 5, p e20176 (2011)
Recombinant DNA technologies have played a pivotal role in the elucidation of structure-function relationships in hemoglobin (Hb) and other globin proteins. Here we describe the development of a plasmid expression system to synthesize recombinant Hbs
Externí odkaz:
https://doaj.org/article/3a70e78452644a22806a30ae97c1c229
Publikováno v:
Cognitive Computation. 14:1362-1377
Publikováno v:
The Visual Computer.
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:3421-3432
Publikováno v:
The Visual Computer.
Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to meet these challenges. In this study, a novel neural network i
Publikováno v:
The Visual Computer. 37:2419-2431
The continuous development and wide application of CT in medical practice have raised public concern over the associated radiation dose to the patient. However, reducing the radiation dose may result in increasing the noise and artifacts, which may a
Autor:
Xiaoben Jiang, David J. Van Horn, Jordan G. Okie, Heather N. Buelow, Egbert Schwartz, Daniel R. Colman, Kelli L. Feeser, Cristina D. Takacs-Vesbach
Publikováno v:
Extremophiles. 26
Autor:
Xiaoben, Jiang, David J, Van Horn, Jordan G, Okie, Heather N, Buelow, Egbert, Schwartz, Daniel R, Colman, Kelli L, Feeser, Cristina D, Takacs-Vesbach
Publikováno v:
Extremophiles : life under extreme conditions. 26(1)
Extremophiles exist among all three domains of life; however, physiological mechanisms for surviving harsh environmental conditions differ among Bacteria, Archaea and Eukarya. Consequently, we expect that domain-specific variation of diversity and co