基于多源特征智能融合技术在乳腺癌识别中的应用OACSTPCD
Application of Intelligent Fusion Technology Based on Multi-Source Features in Breast Cancer Recognition
目的 提出一种基于多源特征融合技术结合限制内存-拟牛顿法-反向传播(Limited-Memory Broyden-Fletcher-Goldfarb-Shanno-Back Propagation,L-BFGS-BP)神经网络模型,以期为乳腺癌筛选和诊断提供参考依据.方法 选取2016年9月1日至2022年8月31日于南京大学医学院附属金陵医院收治的388例乳腺癌确诊患者及同时期收治的288例非乳腺癌患者为研究对象,从生物遗传学、临床特征、血清标…查看全部>>
Objective To propose a multi-source features fusion technology combined with limited-memory broyden-fletcher-goldfarb-shanno-back propagation(L-BFGS-BP)neural network model to provide reference for screening and diagnosis of breast cancer.Methods A total of 388 breast cancer patients and 288 non breast cancer patients who were diagnosed in Jinling Hospital,Affiliated Hospital of Medical School,Nanjing University,from September 1,2016 to August 31,2022 were c…查看全部>>
王龙琦;周学超
南京大学医学院附属金陵医院血管外科,江苏南京 210000南京中医药大学附属南京医院肿瘤和血管疾病介入二科,江苏南京 210000
临床医学
多源特征乳腺癌生物遗传学L-BFGS-BP支持向量机朴素贝叶斯
multi-source featuresbreast cancerbiogeneticsL-BFGS-BPsupport vector machinenaive bayes
《中国医疗设备》 2024 (8)
55-61,7
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