Zobrazeno 1 - 10
of 4 188
pro vyhledávání: '"Bao Feng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous tumor. Commonly used tumor staging don’t sufficiently and accurately assess the prognosis of HNSCC patients, resulting in a lack of guidance for clinical treatment dec
Externí odkaz:
https://doaj.org/article/54cbbafd8ab7410294c039ea8c3eaa09
Autor:
Qionglian Kuang, Bao Feng, Kuncai Xu, Yehang Chen, Xiaojuan Chen, Xiaobei Duan, Xiaoyan Lei, Xiangmeng Chen, Kunwei Li, Wansheng Long
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Purpose To explore the application value of a multimodal deep learning radiomics (MDLR) model in predicting the risk status of postoperative progression in solid stage I non-small cell lung cancer (NSCLC). Materials and Methods A total of 45
Externí odkaz:
https://doaj.org/article/e733ff1dfffa4ccdbed4b9c2dd944047
Publikováno v:
IET Image Processing, Vol 18, Iss 4, Pp 939-950 (2024)
Abstract Analysis of the pathology image is important to diagnose cancer of lung, breast and stomach. Segmenting the nucleus is a key step for quantitative analysis, and has significance to the pathology researches and computer aided diagnosis system
Externí odkaz:
https://doaj.org/article/febe9dfae11544afa244381f5d0797c0
Autor:
Bao Feng, Jiangfeng Shi, Liebin Huang, Zhiqi Yang, Shi-Ting Feng, Jianpeng Li, Qinxian Chen, Huimin Xue, Xiangguang Chen, Cuixia Wan, Qinghui Hu, Enming Cui, Yehang Chen, Wansheng Long
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract The prediction of patient disease risk via computed tomography (CT) images and artificial intelligence techniques shows great potential. However, training a robust artificial intelligence model typically requires large-scale data support. In
Externí odkaz:
https://doaj.org/article/c3540e73f2b44e58a2d13a834e22bd15
Publikováno v:
Shipin yu jixie, Vol 39, Iss 10, Pp 130-137 (2023)
Objective: To improve the classification accuracy of strawberries. Methods: A method of strawberry classification based on improved CNN was proposed by improving CNN through mixing pool method. Firstly, through the combination of maximum pooling and
Externí odkaz:
https://doaj.org/article/b924a07bc9334e53bcb1928e7ca81469
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Deep learning has been used to detect or characterize prostate cancer (PCa) on medical images. The present study was designed to develop an integrated transfer learning nomogram (TLN) for the prediction of PCa and benign condition
Externí odkaz:
https://doaj.org/article/c8133741ad9c4609a51c40c4d04ab7f8
Autor:
Bao Feng, Changyi Ma, Yu liu, Qinghui Hu, Yan Lei, Meiqi Wan, Fan Lin, Jin Cui, Wansheng Long, Enming Cui
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25655- (2024)
Background: Differentiating adrenal adenomas from metastases poses a significant challenge, particularly in patients with a history of extra-adrenal malignancy. This study investigates the performance of three-phase computed tomography (CT) based rob
Externí odkaz:
https://doaj.org/article/843933f1b6bf49dc9f7b0bde0be377c3
Autor:
Shaorong Zhang, Qihui Wang, Benxin Zhang, Zhen Liang, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Bao Feng, Tianyou Yu
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant cha
Externí odkaz:
https://doaj.org/article/000d1a36709d408dafc0b7f0326a9da3
Autor:
Bao Feng, Haoyang Zhou, Jin Feng, Yehang Chen, Yu Liu, Tianyou Yu, Zhuangsheng Liu, Wansheng Long
Publikováno v:
IET Image Processing, Vol 16, Iss 11, Pp 2947-2958 (2022)
Abstract Due to the low contrast, blurred boundary and intensity inhomogeneity of the images, accurate segmentation of breast cancer lesions with dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) still has great challenges. This pape
Externí odkaz:
https://doaj.org/article/ffefcf7f2e64430f996a2193a3eafbcc
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/704c8a2c108b4099a8ae2a0102b38753