Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fandong, Zhang"'
Autor:
Zhenzhen Shao, Yuxin Cai, Yujuan Hao, Congyi Hu, Ziling Yu, Yue Shen, Fei Gao, Fandong Zhang, Wenjuan Ma, Qian Zhou, Jingjing Chen, Hong Lu
Publikováno v:
Breast, Vol 78, Iss , Pp 103805- (2024)
Purpose: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm. Materials and methods: DM and DBT images in 483 patients including 5
Externí odkaz:
https://doaj.org/article/9cca7a4eeb354f34849c4a3705758f3a
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:
Fei Guo, Qiyang Li, Fei Gao, Chencui Huang, Fandong Zhang, Jingxu Xu, Ye Xu, Yuanzhou Li, Jianghong Sun, Li Jiang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo assess the significance of peritumoral features based on deep learning in classifying non-spiculated and noncalcified masses (NSNCM) on mammography.MethodsWe retrospectively screened the digital mammography data of 2254 patients who under
Externí odkaz:
https://doaj.org/article/4eb7d2c6608b4386a5905c133f31c40d
Autor:
Xinling LI, Fangfang GUO, Zhen ZHOU, Fandong ZHANG, Qin WANG, Zhijun PENG, Datong SU, Yaguang FAN, Ying WANG
Publikováno v:
Chinese Journal of Lung Cancer, Vol 22, Iss 6, Pp 336-340 (2019)
Background and objective The detection of pulmonary nodules is a key step to achieving the early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of nodule detection,
Externí odkaz:
https://doaj.org/article/c5bbeafdff6c4afea50366cf86d0062e
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:5947-5961
Mammogram mass detection is crucial for diagnosing and preventing the breast cancers in clinical practice. The complementary effect of multi-view mammogram images provides valuable information about the breast anatomical prior structure and is of gre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::498ccb574600f0f75be2fe174a612ff3
https://doi.org/10.1109/tpami.2021.3085783
https://doi.org/10.1109/tpami.2021.3085783
Autor:
Jinglu Wang, Jie Sun, Jingxu Xu, Shiyu Lu, Hao Wang, Chencui Huang, Fandong Zhang, Yizhou Yu, Xiang Gao, Ming Wang, Yu Wang, Xinzhong Ruan, Yuning Pan
Publikováno v:
Academic Radiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bcd1bf7fe78347829c2e356ef642fd8
https://doi.org/10.1016/j.acra.2022.12.043
https://doi.org/10.1016/j.acra.2022.12.043
Autor:
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Publikováno v:
IEEE transactions on medical imaging.
Vessel segmentation is widely used to help with vascular disease diagnosis. Vessels reconstructed using existing methods are often not sufficiently accurate to meet clinical use standards. This is because 3D vessel structures are highly complicated a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b97207bc2c7f344d6ef29ab2663c7ce
https://pubmed.ncbi.nlm.nih.gov/36112564
https://pubmed.ncbi.nlm.nih.gov/36112564
Autor:
Xiaoqing Cheng, Zheng Dong, Jia Liu, Hongxia Li, Changsheng Zhou, Fandong Zhang, Churan Wang, Zhiqiang Zhang, Guangming Lu
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 11; Pages: 3234
In-stent restenosis (ISR) after carotid artery stenting (CAS) critically influences long-term CAS benefits and safety. The study was aimed at screening preoperative ISR-predictive features and developing predictive models. Thus, we retrospectively an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784d3526d78ba3151b70a58d2ba5228c
https://pubmed.ncbi.nlm.nih.gov/35683623
https://pubmed.ncbi.nlm.nih.gov/35683623
Autor:
Zheng Dong, ChangSheng Zhou, HongXia Li, JiaQian Shi, Jia Liu, QuanHui Liu, XiaoQin Su, FanDong Zhang, XiaoQing Cheng, GuangMing Lu
Publikováno v:
Cerebrovascular diseases (Basel, Switzerland). 51(5)
Introduction: Carotid computed tomography angiography (CTA) is routinely used for evaluating the atherosclerotic process. Radiomics allows the extraction of imaging markers of lesion heterogeneity and spatial complexity. These quantitative features c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f739027ebe608448d8bcb78743f2a5fc
https://pubmed.ncbi.nlm.nih.gov/35259744
https://pubmed.ncbi.nlm.nih.gov/35259744
Publikováno v:
Pattern Recognition Letters. 119:139-147
On mobile devices, the limited area of fingerprint sensors brings demand of partial fingerprint matching. Existing fingerprint authentication algorithms are mainly based on handcrafted features, such as minutiae topological structure and ridge patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12541572b6f6128f8be65e13706dad3c
https://doi.org/10.1016/j.patrec.2017.09.014
https://doi.org/10.1016/j.patrec.2017.09.014