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文档格式:PPT 文档大小:73.03MB 文档页数:298
复旦大学:《社会医学》PPT教学课件_眼底病(张勇进)
文档格式:PDF 文档大小:292.87KB 文档页数:24
复旦大学:《社会医学》课程教学课件_问卷(调查表)设计 Questionnaire Design
文档格式:PPT 文档大小:9.61MB 文档页数:47
子宫颈疾病 子宫体疾病 妊娠滋养层细胞疾病 卵巢肿瘤 前列腺增生 睾丸和阴茎肿瘤 乳腺疾病
文档格式:PPT 文档大小:3.2MB 文档页数:58
第一节 肾小球肾炎 Glomerulonephritis 第二节 肾小管-间质性肾炎 (tubulointerstitial nephritis) 第三节 泌尿系统肿癌
文档格式:PDF 文档大小:8.08MB 文档页数:204
Chapter 1 Recent Advances in Pattern Classification Chapter 2 Neural Networks for Handwriting Recognition Chapter 3 Moving Object Detection from Mobile Platforms Using Stereo Data Registration Chapter 4 Pattern Classifications in Cognitive Informatics Chapter 5 Optimal Differential Filter on Hexagonal Lattice Chapter 6 Graph Image Language Techniques Supporting Advanced Classification and Cognitive Interpretation of CT Coronary Vessel Visualizations Chapter 7 A Graph Matching Approach to Symmetry Detection and Analysis
文档格式:PDF 文档大小:18.18MB 文档页数:964
《医学影像信息学概论》课程参考资源:Biomedical Informatics - Computer Applications in Health Care and Biomedicine(Fourth Edition,Edward H. Shortliffe • James J. Cimino)
文档格式:PDF 文档大小:7.45MB 文档页数:199
1 Introduction 2 Classification 3 Nonmetric Methods 4 Statistical Pattern Recognition 5 Supervised Learning 6 Nonparametric Learning 7 Feature Extraction and Selection 8 Unsupervised Learning 9 Estimating and Comparing Classifiers 10 Projects
文档格式:PDF 文档大小:15.14MB 文档页数:452
《医学影像信息学概论》课程参考资源:Medical Imaging Informatics
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《医学影像信息学概论》课程参考资源:Support Vector Machines for Pattern Recognition(Support Vector Machines for Pattern Classification, Second Edition)
文档格式:PDF 文档大小:3.89MB 文档页数:180
1 Soft Computing Approach to Pattern Classification and Object Recognition 2 Pattern Classification Based on Conventional Interpretation of MFI 3 Pattern Classification Based on New Interpretation of MFI 4 Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm 5 Neuro-Genetic Approach to Pattern Classification Based on the New Interpretation of MFI 6 Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm 7 Neuro-Fuzzy Approach to Occluded Object Recognition Based on New Interpretation of MFI
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