Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yacheng Ren"'
Publikováno v:
IEEE Access, Vol 6, Pp 74506-74520 (2018)
State-of-the-art computer-aided detection (CAD) systems for colonic polyps in computed tomographic colonography (CTC) tend to yield high detection sensitivities with high false positive (FP) rates. This paper proposes a novel CTC CAD system using 3-D
Externí odkaz:
https://doaj.org/article/8dfada0852a74d3f8f5704b566382470
Autor:
Xu-Wei Cai, Xiaolong Fu, Wen Yu, Zhiyong Xu, Junfeng Xiong, Rasmus Larsson, Xiaoyang Li, Yacheng Ren, Jun Zhao, Tian-Ying Jia, Jie Zhang, Jingchen Ma
Publikováno v:
European Radiology. 29:4742-4750
The tyrosine kinase inhibitor (TKI)-sensitive mutations of the epidermal growth factor receptor (EGFR) gene is essential in the treatment of lung adenocarcinoma. To overcome the difficulty of EGFR gene test in situations where surgery and biopsy samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f82d04bfcd1659d2e9e989505edd9603
https://doi.org/10.1007/s00330-019-06024-y
https://doi.org/10.1007/s00330-019-06024-y
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 23:324-333
Computer-aided detection (CAD) systems can assist radiologists in reducing the interpretation time and improving the detection results in computed tomographic colonography (CTC). However, existing false positives (FPs) impair the advantages of CAD sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb7d267fab64af300938765b2888502
https://doi.org/10.1109/jbhi.2018.2808199
https://doi.org/10.1109/jbhi.2018.2808199
Publikováno v:
IEEE Access, Vol 6, Pp 74506-74520 (2018)
State-of-the-art computer-aided detection (CAD) systems for colonic polyps in computed tomographic colonography (CTC) tend to yield high detection sensitivities with high false positive (FP) rates. This paper proposes a novel CTC CAD system using 3-D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a4ff8acbafa9007265e65960e0fda0
https://ieeexplore.ieee.org/document/8487040/
https://ieeexplore.ieee.org/document/8487040/
Publikováno v:
Medical Physics. 44:5916-5929
Purpose Lung field segmentation for chest radiography is critical to pulmonary disease diagnosis. In this paper, we propose a new deformable model using weighted sparse shape composition with robust initialization to achieve robust and accurate lung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f082af941c9b27b729db4340b393f646
https://doi.org/10.1002/mp.12561
https://doi.org/10.1002/mp.12561
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:1924-1934
Objective: Computer-aided detection (CAD) systems for computed tomography colonography (CTC) can automatically detect colorectal polyps. The main problem of currently developed CAD-CTC systems is the numerous false positives (FPs) caused by the exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7fdc91a8c98e1c2624a8ceef2854723
https://doi.org/10.1109/tbme.2016.2631245
https://doi.org/10.1109/tbme.2016.2631245
Autor:
Yacheng Ren, J. Sun, Yizhi Chen, Jun Zhao, Xiaowei Xu, Ling Fu, Junfeng Xiong, Rasmus Larsson
Publikováno v:
EMBC
Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge size, which are not currently available in CT colonography (CTC). In this paper, we propose a well-designed framework to address the challenging prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d71480ed71de38a35b07477e2b03bae
https://pubmed.ncbi.nlm.nih.gov/30440487
https://pubmed.ncbi.nlm.nih.gov/30440487
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
This study was designed to evaluate the predictive performance of 18F-fluorodeoxyglucose positron emission tomography (PET)-based radiomic features for local control of esophageal cancer treated with concurrent chemoradiotherapy (CRT). For each of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aaa379eeef7de8b64f958cd65b9f698
https://doi.org/10.1038/s41598-018-28243-x
https://doi.org/10.1038/s41598-018-28243-x
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Lung cancer is the leading cause of cancer deaths worldwide. Early diagnosis is critical in increasing the 5-year survival rate of lung cancer, so the efficient and accurate detection of lung nodules, potential precursors to lung cancer, is evermore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec9e119b902cae2181c63676ed41d85
https://doi.org/10.1117/12.2253995
https://doi.org/10.1117/12.2253995
Publikováno v:
Medical physics. 44(8)
Purpose Lung cancer is a major cause of cancer deaths, and the 5-year survival rate of stage IV lung cancer patients is only 2%. However, the 5-year survival rate of stage I lung cancer patients significantly increases to 50%. As such, spiral compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac034202f24a2e9206d626939e9d477
https://pubmed.ncbi.nlm.nih.gov/28494110
https://pubmed.ncbi.nlm.nih.gov/28494110