[PDF][PDF] Segmentation of breast cancer on DCE-MRI images with MRF energy and fuzzy speed function
F Bao, C Ye-Hang, L Zhuang-Sheng, L Zhi… - Acta Automatica …, 2020 - aas.net.cn
… disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2016: A systematic
analysis for the global burden of disease study. JAMA Oncology, 2018, 4(11): 1553−1568 2 …
analysis for the global burden of disease study. JAMA Oncology, 2018, 4(11): 1553−1568 2 …
从临床医生角度, 看人工智能在癌症精准诊疗中的应用及思考
王琳琳， 孙玉萍 - 山东大学学报(医学版), 2021 - yxbwk.njournal.sdu.edu.cn
… In this review, we will first summarize the cutting-edge AI technology and then focus on the
influence of deep learning, the most popular AI technology, on cancer radiology. Next, we will …
influence of deep learning, the most popular AI technology, on cancer radiology. Next, we will …
[HTML][HTML] 人工智慧運用在醫學領域研究之網路與主題分析
CH Hsu - 2020 - ir.lib.ncu.edu.tw
… literature reviews are warranted. The objective of this study is to integrate network analysis
and topic analysis … By using keyword-based search, all relevant articles published over 1963–…
and topic analysis … By using keyword-based search, all relevant articles published over 1963–…
[HTML][HTML] 生成图片, 分享到微信朋友圈
N Houssami, CI Lee, DSM Buist, D Tao - Breast, 2017 - freewechat.com
… intelligence; Mammography; Population screening … Breast cancer screening Most developed
health care systems have implemented population screening for breast cancer (BC) based …
health care systems have implemented population screening for breast cancer (BC) based …
基于空间自适应和混合损失对抗网络的乳腺肿块图像分割方法
刘东， 陈境宇， 王生生 - 云南大学学报(自然科学版), 2022 - yndxxb.ynu.edu.cn
… on histopathology images analysis: a systematic review[J]. Archives of … of breast masses
is of great importance in the process of computer aided diagnosis for breast cancer screening. …
is of great importance in the process of computer aided diagnosis for breast cancer screening. …
结合MRF 能量和模糊速度的乳腺癌图像分割方法
冯宝， 陈业航， 刘壮盛， 李智， 宋嵘， 龙晚生 - 自动化学报, 2020 - aas.net.cn
… segmentation of breast cancer is an important step for computer-aided diagnosis. In images
… blurred boundary and intensity inhomogeneous of the breast cancer images. In this paper, a …
… blurred boundary and intensity inhomogeneous of the breast cancer images. In this paper, a …
基于层次化双重注意力网络的乳腺多模态图像分类
杨霄， 袭肖明， 李维翠， 杨璐 - 山东大学学报(工学版), 2022 - gxbwk.njournal.sdu.edu.cn
… Application of MRI enhanced scan combined with DWI detection in diagnosis of breast
cancer[J]. … A support vector machine-based ensemble algorithm for breast cancer diagnosis[J]. …
cancer[J]. … A support vector machine-based ensemble algorithm for breast cancer diagnosis[J]. …
S-Detect 对甲状腺结节良恶性鉴别诊断价值的Meta 分析
陈璟泰， 侯令密， 唐云辉， 钱双强， 蒲虹羽， 高砚春 - 中国全科医学, 2021 - chinagp.net
… S-Detect is a new computer aided diagnostic technique,which … Methods We did a literature
review of PubMed, EMBase,Web … endocrine resistance in invasive lobular breast cancer[J]. …
review of PubMed, EMBase,Web … endocrine resistance in invasive lobular breast cancer[J]. …
[HTML][HTML] 基于深度学习和医学图像的癌症计算机辅助诊断研究进展
诗慧陈， 维湘刘， 璟秦， 亮亮陈， 果宾… - Sheng Wu Yi Xue …, 2017 - ncbi.nlm.nih.gov
… -of-the-art machine learning technique has contributed to a great progress in this field. This
review covers the reports about deep learning based CAD systems in cancer imaging. We …
review covers the reports about deep learning based CAD systems in cancer imaging. We …
[HTML][HTML] 人工智能在乳腺癌精准诊疗中的应用
肖文铉， 江一舟， 邵志敏 - 实用肿瘤杂志, 2022 - xml-data.org
… AI in all aspects of breast cancer care. This manuscript reviews the current development and
major applications of AI in the precision medicine of breast cancer, including screening and …
major applications of AI in the precision medicine of breast cancer, including screening and …