Medical Biometrics : First International Conference, ICMB 2008, Hong Kong, China, January 4-5, 2008, Proceedings / edited by David Y. Zhang.

Format:

Book

Contributor:

Zhang, David Y., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 4901.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4901

Language:

English

Subjects (All):

Biometry.

Optical data processing.

Pattern perception.

Computer graphics.

Artificial intelligence.

Biometrics.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Artificial Intelligence.

Local Subjects:

Biometrics.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Artificial Intelligence.

Physical Description:

1 online resource (XII, 328 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

The past decade has seen a rapid growth in the demand for the usage of behavioral and physiological characteristics of humans for e-security and forensics applications. The significant advances in the biometrics techniques are increasingly incorporated in a number of other applications. In this context, medicine has emerged as the largest and most promising area. Medical biometrics primarily refers to the usage of beh- ioral and physiological characteristics of humans for medical diagnosis and body care. Thus the goal of medical biometrics is to explore solutions to the open problems in medicine using biometric measurements, technologies and systems. The International Conference on Medical Biometrics (ICMB 2008) was the first major gathering in the world devoted to facilitating this interaction. We are pleased that this conference attracted a large number of high-quality research papers that will benefit international medical biometrics research. After a careful review process, 40 papers were accepted either for oral (17) or poster (23) presentations. In addition to these technical presentations, this conference also held a workshop on Computerized Traditional C- nese Medicine. Our efforts are focused to generating awareness among researchers, organizing researchers to foster research in this area, and providing a common platform for discussion and investigation. This conference provided a forum for discussing prac- cal experiences in applying the state-of-the-art biometric tecnologies for medical diag- sis and body care, which will further stimulate research in medical biometrics. We are grateful to Max A.

Contents:

Feature Extraction and Classification

A New Feature Selection and Classification Scheme for Screening of Oral Cancer Using Laser Induced Fluorescence

Tongueprint Feature Extraction and Application to Health Statistical Analysis

RISC: A New Filter Approach for Feature Selection from Proteomic Data

An Effective Feature Set for ECG Pattern Classification

Research on Gesture Definition and Electrode Placement in Pattern Recognition of Hand Gesture Action SEMG

Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization

Extracting Tongue Cracks Using the Wide Line Detector

An Effective Recognition Method of Breast Cancer Based on PCA and SVM Algorithm

Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination

A Knowledge Discovery Approach to Diagnosing Intracranial Hematomas on Brain CT: Recognition, Measurement and Classification

An Adaptive Feature Extractor for Gesture SEMG Recognition

Health Care

Approach to Health Supporting System Using Traditional Chinese Medicine

A Multimodal Database for a Home Remote Medical Care Application

Adaptive Segmentation and Feature Quantization of Sublingual Veins of Healthy Humans

Using Formal Concept Analysis to Leverage Ontology-Based Acu-Point Knowledge System

Implementation of a Portable Personal EKG Signal Monitoring System

Examining the Influence of Occupational Therapy and Its Effectiveness in Long-Term Care on Dementia Patients Through Ontology-Based Clustering

Automatic Classification of Tongueprints in Healthy and Unhealthy Individuals

VWPS: A Ventilator Weaning Prediction System with Artificial Intelligence

Medical Diagnosis

A Method of Classifying Tongue Colors for Traditional Chinese Medicine Diagnosis Based on the CIELAB Color Space

Hepatitis Diagnosis Using Facial Color Image

Texture Feature Extraction and Classification for Iris Diagnosis

Screening Diabetic Retinopathy Through Color Retinal Images

Real-Time RFID-Based Intelligent Healthcare Diagnosis System

Quantitative Assessment of Pap Smear Cells by PC-Based Cytopathologic Image Analysis System and Support Vector Machine

An Integrated MRI and MRS Approach to Evaluation of Multiple Sclerosis with Cognitive Impairment

Using Modified Contour Deformable Model to Quantitatively Estimate Ultrasound Parameters for Osteoporosis Assessment

Noninvasive Ultrasound Imaging for Bone Quality Assessment Using Scanning Confocal Acoustic Diagnosis, ?CT, DXA Measurements, and Mechanical Testing

Medical Image Processing and Registration

Hierarchical Matching of Anatomical Trees for Medical Image Registration

Interactive Deformable Registration Visualization and Analysis of 4D Computed Tomography

Pinhole SPECT vs. Cone-Beam SPECT

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images

Compression of Medical Images Using Enhanced Vector Quantizer Designed with Self Organizing Feature Maps

Indicator and Calibration Material for Microcalcifications in Dual-Energy Mammography

Tongue Image Matching Using Color and Texture

Pixel Based Tongue Color Analysis

Gradient Direction Edge Enhancement Based Nucleus and Cytoplasm Contour Detector of Cervical Smear Images

Three Dimensional Reconstruction and Dynamic Analysis of Mitral Annular Based on Connected Equi-length Curve Angle Chain

A Segmentation Method Based on Dynamic Programming for Breast Mass in MRI Images

A Multi-resolution Optical Flow Based Approach to Respiratory Motion Correction in 3D PET/CT Images.

Other Format:

Printed edition:

ISBN:

978-3-540-77413-6

9783540774136

Access Restriction:

Restricted for use by site license.