Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Changhong, Liang"'
Autor:
Xiaorui Han, Yuan Guo, Huifen Ye, Zhihong Chen, Qingru Hu, Xinhua Wei, Zaiyi Liu, Changhong Liang
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-14 (2024)
Abstract Backgrounds Since breast cancer patients respond diversely to immunotherapy, there is an urgent need to explore novel biomarkers to precisely predict clinical responses and enhance therapeutic efficacy. The purpose of our present research wa
Externí odkaz:
https://doaj.org/article/43a597149e3745318715f0e875da6178
Autor:
Yunrui Ye, Xiaomei Wu, Huihui Wang, Huifen Ye, Ke Zhao, Su Yao, Zaiyi Liu, Yaxi Zhu, Qingling Zhang, Changhong Liang
Publikováno v:
Annals of Medicine, Vol 55, Iss 1 (2023)
AbstractBackground In colorectal cancer (CRC), both tumor invasion and immunological analysis at the tumor invasive margin (IM) are significantly associated with patient prognosis, but have traditionally been reported independently. We propose a new
Externí odkaz:
https://doaj.org/article/db2eaa9f53084166b876811014983ad8
Publikováno v:
Discover Oncology, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Background Tumor necrosis results from failure to meet the requirement for rapid proliferation of tumor, related to unfavorable prognosis in colorectal cancer (CRC). However, previous studies used traditional microscopes to evaluate necrosis
Externí odkaz:
https://doaj.org/article/e0a86b33c50e4ea5bf3753a8d717642a
Autor:
Huifen Ye, Yunrui Ye, Yiting Wang, Tong Tong, Su Yao, Yao Xu, Qingru Hu, Yulin Liu, Changhong Liang, Guangyi Wang, Ke Zhao, Xinjuan Fan, Yanfen Cui, Zaiyi Liu
Publikováno v:
Medicine Advances, Vol 1, Iss 1, Pp 30-43 (2023)
Abstract Background With the advance in digital pathology and artificial intelligence (AI)‐powered approaches, necrosis is proposed as a marker of poor prognosis in colorectal cancer (CRC). However, most previous studies quantified necrosis merely
Externí odkaz:
https://doaj.org/article/306e9efe05984f488853f95d6ce06b18
Autor:
Longjiang Zhang, Zhao Shi, Min Chen, Yingmin Chen, Jingliang Cheng, Li Fan, Nan Hong, Wenxiao Jia, Guihua Jiang, Shenghong Ju, Xiaogang Li, Xiuli Li, Changhong Liang, Weihua Liao, Shiyuan Liu, Zaiming Lu, Lin Ma, Ke Ren, Pengfei Rong, Bin Song, Gang Sun, Rongpin Wang, Zhibo Wen, Haibo Xu, Kai Xu, Fuhua Yan, Yizhou Yu, Yunfei Zha, Fandong Zhang, Minwen Zheng, Zhen Zhou, Wenzhen Zhu, Guangming Lu, Zhengyu Jin
Publikováno v:
Intelligent Medicine, Vol 2, Iss 4, Pp 221-229 (2022)
In recent years, with the development of artificial intelligence, especially deep learning technology, researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually enteri
Externí odkaz:
https://doaj.org/article/92ba132debb14e4a9d34a6f1969202e1
Autor:
Lei Wu, Weitao Ye, Yu Liu, Dong Chen, Yuxiang Wang, Yanfen Cui, Zhenhui Li, Pinxiong Li, Zhen Li, Zaiyi Liu, Min Liu, Changhong Liang, Xiaotang Yang, Yu Xie, Ying Wang
Publikováno v:
Breast Cancer Research, Vol 24, Iss 1, Pp 1-17 (2022)
Abstract Background The biological phenotype of tumours evolves during neoadjuvant chemotherapy (NAC). Accurate prediction of pathological complete response (pCR) to NAC in the early-stage or posttreatment can optimize treatment strategies or improve
Externí odkaz:
https://doaj.org/article/9934a28c4abd471fbd276e0a2adb31b2
Autor:
Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu
Publikováno v:
Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-11 (2022)
Abstract Background We proposed an artificial intelligence-based immune index, Deep-immune score, quantifying the infiltration of immune cells interacting with the tumor stroma in hematoxylin and eosin-stained whole-slide images of colorectal cancer.
Externí odkaz:
https://doaj.org/article/9eaef0dff80d46938691394fa9c36528
Autor:
Ting Guo, Kedi Xiong, Bo Yuan, Zhenhui Zhang, Lijuan Wang, Yuhu Zhang, Changhong Liang, Zaiyi Liu
Publikováno v:
Photoacoustics, Vol 31, Iss , Pp 100516- (2023)
Neurovascular imaging is essential for investigating neurodegenerative diseases. However, the existing neurovascular imaging technology suffers from a trade-off between a field of view (FOV) and resolution in the whole brain, resulting in an inhomoge
Externí odkaz:
https://doaj.org/article/d7ca4eac01154ec3addfdd625df30ae8
Autor:
Huan Lin, Xipeng Pan, Zhengyun Feng, Lixu Yan, Junjie Hua, Yanting Liang, Chu Han, Zeyan Xu, Yumeng Wang, Lin Wu, Yanfen Cui, Xiaomei Huang, Zhenwei Shi, Xin Chen, Xiaobo Chen, Qingling Zhang, Changhong Liang, Ke Zhao, Zhenhui Li, Zaiyi Liu
Publikováno v:
Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-13 (2022)
Abstract Background High immune infiltration is associated with favourable prognosis in patients with non-small-cell lung cancer (NSCLC), but an automated workflow for characterizing immune infiltration, with high validity and reliability, remains to
Externí odkaz:
https://doaj.org/article/c0cdbc87795d432abc70faea98d9c98f
Autor:
Jian Zhou, Huichuan Sun, Zheng Wang, Wenming Cong, Mengsu Zeng, Weiping Zhou, Ping Bie, Lianxin Liu, Tianfu Wen, Ming Kuang, Guohong Han, ZhiPing Yan, Maoqiang Wang, Ruibao Liu, Ligong Lu, Zhenggang Ren, ZhaoChong Zeng, Ping Liang, Changhong Liang, Min Chen, Fuhua Yan, Wenping Wang, Jinlin Hou, Yuan Ji, Jingping Yun, Xueli Bai, Dingfang Cai, Weixia Chen, Yongjun Chen, Wenwu Cheng, Shuqun Cheng, Chaoliu Dai, Wenzhi Guo, Yabing Guo, Baojin Hua, Xiaowu Huang, Weidong Jia, Qiu Li, Tao Li, Xun Li, Yaming Li, Yexiong Li, Jun Liang, Changquan Ling, Tianshu Liu, Xiufeng Liu, Shichun Lu, Guoyue Lv, Yilei Mao, Zhiqiang Meng, Tao Peng, Weixin Ren, Hongcheng Shi, Guoming Shi, Ming Shi, Tianqiang Song, Kaishan Tao, Jianhua Wang, Kui Wang, Lu Wang, Wentao Wang, Xiaoying Wang, Zhiming Wang, Bangde Xiang, Baocai Xing, Jianming Xu, Jiamei Yang, Jianyong Yang, Yefa Yang, Yunke Yang, Shenglong Ye, Zhenyu Yin, Yong Zeng, Bixiang Zhang, Boheng Zhang, Leida Zhang, Shuijun Zhang, Ti Zhang, Yanqiao Zhang, Ming Zhao, Yongfu Zhao, Honggang Zheng, Ledu Zhou, Jiye Zhu, Kangshun Zhu, Rong Liu, Yinghong Shi, Yongsheng Xiao, Lan Zhang, Chun Yang, Zhifeng Wu, Zhi Dai, Minshan Chen, Jianqiang Cai, Weilin Wang, Xiujun Cai, Qiang Li, Feng Shen, Shukui Qin, Gaojun Teng, Jiahong Dong, Jia Fan
Publikováno v:
Liver Cancer (2023)
Background: Primary liver cancer, around 75%–85% are hepatocellular carcinoma in China, is the fourth most common malignancy and the second leading cause of tumor-related death, thereby posing a significant threat to the life and health of the Chin
Externí odkaz:
https://doaj.org/article/ab60b55b31574ba8a11cb8dd36227daf