Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Dahong Qian"'
Autor:
Qing-Wei Zhang, Zhengjie Zhang, Jianwei Xu, Zi-Hao Dai, Ran Zhao, Jian Huang, Hong Qiu, Zhao-Rong Tang, Bo Niu, Xun-Bing Zhang, Peng-Fei Wang, Mei Yang, Wan-Yin Deng, Yan-Sheng Lin, Suncheng Xiang, Zhi-Zheng Ge, Dahong Qian, Xiao-Bo Li
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109461- (2024)
Summary: Artificial intelligence (AI) has been found to assist in optical differentiation of hyperplastic and adenomatous colorectal polyps. We investigated whether AI can improve the accuracy of endoscopists’ optical diagnosis of polyps with advan
Externí odkaz:
https://doaj.org/article/b7c939ed93f747508633e817a933eda6
Autor:
Leran Tao, Meng Li, Xu Zhang, Mengjia Cheng, Yang Yang, Yijiao Fu, Rongbin Zhang, Dahong Qian, Hongbo Yu
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is s
Externí odkaz:
https://doaj.org/article/a297035143774c5f961f7f5d24f7c576
Autor:
Mengjia Cheng, Xu Zhang, Jun Wang, Yang Yang, Meng Li, Hanjiang Zhao, Jingyang Huang, Chenglong Zhang, Dahong Qian, Hongbo Yu
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Preoperative planning of orthognathic surgery is indispensable for achieving ideal surgical outcome regarding the occlusion and jaws' position. However, orthognathic surgery planning is sophisticated and highly experience-dependen
Externí odkaz:
https://doaj.org/article/83960cd71d30454a9bd8329c9132a6de
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-16 (2021)
Abstract Background One of the major challenges in precision medicine is accurate prediction of individual patient’s response to drugs. A great number of computational methods have been developed to predict compounds activity using genomic profiles
Externí odkaz:
https://doaj.org/article/ab16402d97de482fb674ee4c44eef3cc
Autor:
Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract Most prior studies focused on developing models for the severity or mortality prediction of COVID-19 patients. However, effective models for recovery-time prediction are still lacking. Here, we present a deep learning solution named iCOVID t
Externí odkaz:
https://doaj.org/article/a6e6a3508738431586a63408365d0e7e
Autor:
Lin Zhou, Kun Wang, Hao Sun, Simin Zhao, Xianfeng Chen, Dahong Qian, Hongju Mao, Jianlong Zhao
Publikováno v:
Nano-Micro Letters, Vol 11, Iss 1, Pp 1-13 (2019)
Abstract A simple, convenient, and highly sensitive bio-interface for graphene field-effect transistors (GFETs) based on multifunctional nano-denatured bovine serum albumin (nano-dBSA) functionalization was developed to target cancer biomarkers. The
Externí odkaz:
https://doaj.org/article/bbe43b8d8b1746f7a6eb07c1b25a26e9
Publikováno v:
IEEE Access, Vol 7, Pp 46033-46044 (2019)
In computed tomography, automated detection of pulmonary nodules with a broad spectrum of appearance is still a challenge, especially, in the detection of small nodules. An automated detection system usually contains two major steps: candidate detect
Externí odkaz:
https://doaj.org/article/13a64912430548358d42cef6f9180bfc
Autor:
Xiaojun Guan, Shaoze Wang, Pingding Kuang, Haitong Lu, Minming Zhang, Dahong Qian, Xiaojun Xu
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
BackgroundPatients with non-calcified hamartoma were more susceptible to surgery or needle biopsy for the tough discrimination from lung adenocarcinoma. Radiomics have the ability to quantify the lesion features and potentially improve disease diagno
Externí odkaz:
https://doaj.org/article/c80853f4c3494952b826d2cc06c5d2d1
Autor:
Min Zhang, Yiming Bao, Weiwei Rui, Chengfang Shangguan, Jiajun Liu, Jianwei Xu, Xiaozhu Lin, Miao Zhang, Xinyun Huang, Yilei Zhou, Qian Qu, Hongping Meng, Dahong Qian, Biao Li
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
ObjectiveTo assess the performance of pretreatment 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for predicting EGFR mutation status in patients with non-small cell lung cancer (NSCLC).Pat
Externí odkaz:
https://doaj.org/article/3ea4d1385a6446a69af1ca1b895c1692
Publikováno v:
IEEE Access, Vol 6, Pp 14339-14346 (2018)
We have developed a new computed tomography (CT)-based 3-D volume difference reconstruction (VDR) method for building a model of soft tissue differences using facial self-referenced prototyping computation, and a computer-aided design (CAD) workflow
Externí odkaz:
https://doaj.org/article/583e859a57694cb9b1b9216ad6dbc16f