Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Enmin SONG"'
Autor:
Guanchao Ye, Guangyao Wu, Chunyang Zhang, Mingliang Wang, Hong Liu, Enmin Song, Yuzhou Zhuang, Kuo Li, Yu Qi, Yongde Liao
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
ObjectivesTo investigate the prediction of pathologic complete response (pCR) in patients with non-small cell lung cancer (NSCLC) undergoing neoadjuvant immunochemotherapy (NAIC) using quantification of intratumoral heterogeneity from pre-treatment C
Externí odkaz:
https://doaj.org/article/f92556ccf6894c53a2310ea111cf0468
Publikováno v:
Translational Oncology, Vol 44, Iss , Pp 101922- (2024)
Purpose: To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing the occult lymph node metastasis (OLNM) status in clinical stage IA lung adenocarcinoma. Methods: A cohort of 473 cases of lung adenocarcinomas from two hosp
Externí odkaz:
https://doaj.org/article/1b61d114bb834c39885475c04ef9f670
Autor:
Yuxuan Sun, Wang Zhang, Junnan Gu, Liangyu Xia, Yinghao Cao, Xinhui Zhu, Hao Wen, Shaowei Ouyang, Ruiqi Liu, Jialong Li, Zhenxing Jiang, Denglong Cheng, Yiliang Lv, Xiaotao Han, Wu Qiu, Kailin Cai, Enmin Song, Quanliang Cao, Liang Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Untethered capsules hold clinical potential for the diagnosis and treatment of gastrointestinal diseases. Although considerable progress has been achieved recently in this field, the constraints imposed by the narrow spatial structure of the
Externí odkaz:
https://doaj.org/article/9d41ccb1822b44a3b4f627470519cd30
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 42, Iss 6, Pp 745-752 (2022)
To improve the polishing efficiency and precision, the optimum processing parameters of Si in the chemical mechanical polishing (CMP) process were analysed by CMP experiments and response surface methodology. The results show that polishing pressure
Externí odkaz:
https://doaj.org/article/13d1af4ab52e402c912a85f4821456f7
Publikováno v:
IEEE Access, Vol 9, Pp 4784-4796 (2021)
Metric learning has significantly improved machine learning applications such as face re-identification and image classification using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classifiers. However, to the best of our knowledge, it ha
Externí odkaz:
https://doaj.org/article/b9538888e6724b7dacc4660e38d2f6ae
Publikováno v:
IEEE Access, Vol 7, Pp 3800-3809 (2019)
The iatrogenic ureter injury is a common medical negligence in the gynecology, abdominal, and urinary surgeries. Anatomically, the ureter is covered by peritoneum and connective tissue, and the doctor cannot observe it directly in surgery. The ureter
Externí odkaz:
https://doaj.org/article/909f79e10df045e5a3286fe8aec49bf4
Autor:
Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung
Publikováno v:
IEEE Access, Vol 7, Pp 67380-67391 (2019)
It is critical to have accurate detection of lung nodules in CT images for the early diagnosis of lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of detection. Due to the heterogeneity of lung nodules and thei
Externí odkaz:
https://doaj.org/article/4e96665f01364ab19c14c94708b0b32c
Publikováno v:
IEEE Access, Vol 7, Pp 97032-97040 (2019)
The past few decades have seen the rapid development of artificial intelligence (AI) technology in diverse industries. Inspired by the fact that an agent is the central part of AI, we combine AI with the technology of the mobile agent. A mobile agent
Externí odkaz:
https://doaj.org/article/c1abf1a343bf4300b2de75fee5725d2d
Publikováno v:
Journal of Control Science and Engineering, Vol 2016 (2016)
Low-resolution (LR) license plate images or videos are often captured in the practical applications. In this paper, a distribution estimation based superresolution (SR) algorithm is proposed to reconstruct the license plate image. Different from the
Externí odkaz:
https://doaj.org/article/b0043c3c333542f69705d66205bfe7ba
Publikováno v:
Sensors, Vol 18, Iss 1, p 127 (2018)
Duty-cycled sensor networks provide a new perspective for improvement of energy efficiency and reliability assurance of multi-hop cooperative sensor networks. In this paper, we consider the energy-efficient cooperative node sleeping and clustering pr
Externí odkaz:
https://doaj.org/article/5c4c3381cbb84acf847f613f47a86a49