Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rongbo Shen"'
Autor:
Rongbo Shen, Lin Liu, Zihan Wu, Ying Zhang, Zhiyuan Yuan, Junfu Guo, Fan Yang, Chao Zhang, Bichao Chen, Wanwan Feng, Chao Liu, Jing Guo, Guozhen Fan, Yong Zhang, Yuxiang Li, Xun Xu, Jianhua Yao
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Comprehensive annotating of cell types in spatially resolved transcriptomics to understand biological processes at the single cell level remains challenging. Here the authors introduce Spatial-ID, a supervision-based cell typing method, that combines
Externí odkaz:
https://doaj.org/article/3ae7c4f41e5046c587fc9996b00ff84a
Autor:
Yunshan Li1, Yi Li1, Rongbo Shen1, Lu Yang1, Siyuan Huang1, Nana Xiao1, Feng Yuan1, Shengbo Yang2 yangshengbo8205486@163.com
Publikováno v:
International Journal of Morphology. 2024, Vol. 42 Issue 6, p1517-1523. 7p.
Publikováno v:
Future Generation Computer Systems. 101:668-679
Breast mass detection is a challenging task in mammogram, since mass is usually embedded and surrounded by various normal tissues with similar density. Recently, deep learning has achieved impressive performance on this task. However, most deep learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8927999dd1e6d2c80b8e1a35c56c47a4
https://doi.org/10.1016/j.future.2019.07.013
https://doi.org/10.1016/j.future.2019.07.013
Autor:
Haipeng Lu, Fengxia Li, Xiaolong Weng, Longjiang Deng, Haiyan Chen, Rongbo Shen, Yang Zhou, Li Zhang, Jianliang Xie
Publikováno v:
Microwave and Optical Technology Letters. 61:2037-2045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78ef9c54986a95066beba3c96bc6343a
https://doi.org/10.1002/mop.31854
https://doi.org/10.1002/mop.31854
Autor:
Xiaolong Weng, Guanya Li, Qingting He, Guorui Zhang, Haipeng Lu, Jianliang Xie, Haiyan Chen, Rongbo Shen, Fengxia Li, Longjiang Deng
Publikováno v:
Applied Physics B. 127
An extraction method for the equivalent electromagnetic parameters (EEP) of grading honeycomb absorbing materials (GHAM) is proposed based on the asymmetric property of GHAM, EEP was modified by gradient factors related to its physical parameters in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ce9d6c07138d9bcb13794d5f6c860d
https://doi.org/10.1007/s00340-021-07630-9
https://doi.org/10.1007/s00340-021-07630-9
Publikováno v:
Pathology - Research and Practice. 233:153877
The expression status of HER2 is an important factor in evaluating the prognosis of breast cancer. We found that the positivity rate of HER2 varied with the diameter of invasive lesions in early breast cancer.We aimed to explore the relationship betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efffce1a743b2c0c9a189325445ccb56
https://doi.org/10.1016/j.prp.2022.153877
https://doi.org/10.1016/j.prp.2022.153877
Publikováno v:
Neurocomputing. 322:166-176
Pornographic image recognition is a challenging task due to the subjective definition and complex contextual information. In this paper, we propose an ensemble framework using uncertain inference (EFUI) for pornographic image recognition. The EFUI em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f960011bda175fbd866e388f48cd67
https://doi.org/10.1016/j.neucom.2018.08.080
https://doi.org/10.1016/j.neucom.2018.08.080
Publikováno v:
Journal of Digital Imaging. 31:680-691
In computer-aided diagnosis systems for breast mammography, the pectoral muscle region can easily cause a high false positive rate and misdiagnosis due to its similar texture and low contrast with breast parenchyma. Pectoral muscle region segmentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7b2e0b3c79b4989b97e66394440061
https://doi.org/10.1007/s10278-018-0068-9
https://doi.org/10.1007/s10278-018-0068-9
Autor:
Jianliang Xie, Yang Zhou, Fengxia Li, Longjiang Deng, Haipeng Lu, Kai Li, Rongbo Shen, Haiyan Chen, Rao Hong
Publikováno v:
2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall).
Magnetic loss materials have been extensively used as surface waves attenuation materials. Transmission characteristics of surface waves in defective absorbing layers were rarely reported. Herein, the transmission attenuation of surface waves on defe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a219c790e90e4f40d9cb60ea9ed89ab
https://doi.org/10.1109/piers-fall48861.2019.9021406
https://doi.org/10.1109/piers-fall48861.2019.9021406
Publikováno v:
Medical physicsReferences. 47(4)
Purpose In this paper, for the purpose of accurate and efficient mass detection, we propose a new deep learning framework, including two major stages: Suspicious region localization (SRL) and Multicontext Multitask Learning (MCMTL). Methods In the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81db2001c8b2bedd3f5f273b8250da17
https://pubmed.ncbi.nlm.nih.gov/31799718
https://pubmed.ncbi.nlm.nih.gov/31799718