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

《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）

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

《医学影像信息学概论》课程参考资源：Medical Imaging Informatics

《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）

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

复旦大学：《医学影像信息学概论》课程教学资源_教学大纲

头部 一、境界

第一节均数的抽样误差 第二节t分布与可信区间 第三节t检验 第四节假设检验的步骤及其有关概念

第一节率的抽样误差与可信区间 第二节率的统计学推断 一、样本率与总体率比较的u检验 二、两个样本率比较的u检验