复旦大学：《社会医学》课程教学课件_问卷（调查表）设计 Questionnaire Design

概述 门静脉高压症(portal hypertension,PH): 是指由各种原因引起的门静脉系统血流受阻和 (或)血流量增加,导致门静脉及其属支血管 压力升高,临床表现为脾大、门腔静脉侧支循 环形成和开放以及腹水。 ·正常门静脉压约在1.27~2.35kPa(13~ 24cmH2O)之间,平均为 1.76ka(18cmH2O)左右。门静脉高压时, 压力大都增至2.9~4.9kPa(30~ 50cmH20

第一节 解剖生理概要 第二节 肝脓肿（liver abscess） 第四节 肝肿瘤（tumor of liver）

慢性胃炎( chronic gastritis)是一种常见病,由各种致病因素所致胃粘膜慢 性非特异性炎症,病变以胃窦炎为主。可分为慢性浅表性胃炎,慢性萎缩性胃炎 和慢性肥厚性胃炎等三类。用纤维胃镜可直接窥视胃粘膜的病变,并钳取病变组 织进行病理检査,可确诊

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