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

1)掌握雄激素的生物学作用 (2)掌握月经周期,雌激素与孕激素的生理作用; (3)了解睾丸的功能及其调节 (4)了解卵巢功能,了解下丘脑-腺垂体-卵巢轴与妇科内分泌疾病的关系

(1)掌握内分泌概念,激素作用机制; (2)掌握生长激素和甲状腺激素的作用及其调节 (3)熟悉激素作用的一般特性 (4)熟悉下丘脑与腺垂体的机能联系,腺垂体激素

1.教学目的要求 (1)掌握感受器一般生理特征 (2)掌握眼的折光系统及其调节反应,两种感光细胞,眼的折光能力异常: (3)掌握视觉二元学说、色盲、暗适应和明适应、视紫红质、视敏度、视野等概念