Performance Evaluation in BREAST CANCER: Screening, Diagnosis and Treatment

Performance Evaluation in BREAST CANCER:
Screening, Diagnosis and Treatment

			Edited by Eddie Y. K. Ng (Singapore), U. Rajendra Acharya (Singapore) and Jasjit S. Suri (USA)
			June 2010 550 pages, Hardcover ISBN: 1-58883-156-6 US$399.00

ABOUT THIS BOOK

Breast cancer is a leading cause of death nowadays in women throughout the world. In developed countries it is most common type of cancer in women and second or third most common malignancy in developing countries. It is gradually increasing and remains as a significant public health concern. There are various modalities available to detect the presence of breast cancer these days. They are light (optical), sound (ultrasound), heat (thermogram), magnetism, attenuation, microwave, X-rays, nuclear, electrical impedance, computer modeling (inverse simulation), or a fusion of different methods and computer-aided diagnosis. This book covers most of the areas namely breast screening instrumentation, early reliable diagnosis, and therapeutic methods possible. The book has four parts. First part of the book covers different kinds of breast cancers and their pathology and diagnosis of the breast cancer using mammogram, ultrasound images, and electropotentials using advanced image processing techniques. Various methods used for the performance evaluation of the breast cancer diagnosis is discussed in second part of the book. Third part of the book focuses on diagnosis of malignancy in the breast using thermogram (revisit) and discrete temperature data on skin surface. Novel data mining and imaging techniques are used for the early detection of the malignancy. The application of robots for the detection of breast surgery, transmission of mammograms in a noisy channel with error correcting codes, and computational simulation of breast tumor detection are covered in final part four..

CONTENTS

PART 1: Breast Cancer Diagnosis

	The Human Breast
	Supervised Classification of Mammograms Using Association Rules
	An Applied Comparative Study on Active Contour Models in Mammographic Image Segmentatio
	Classification and Segmentation of Mammogram Images
	Computer-Aided Diagnosis of Breast Lesions on Sonograms: Automatic Boundary Delineation and Nearly Setting-Independent Morphological Features
	Clinical Assessment of Breast Lesions Using Skin Surface Electropotentials: Preliminary Results of a Prospective Clinical Trial of the Biofield Diagnostic System
PART 2: Performance Evaluation of Breast Cancer Diagnosis
	Mammogrphic, Sonography Features on Breast Cancer: Performance Evaluation
	Performance Evaluation of Doppler Sonography in Breast Cancer Diagnosis
	Image Quality Assessment and Dose Optimization-Performance Evaluation Strategies for Mammography
	Performance Evaluation of Thermal Imager as a Potential Compliment Breast Cancer Detection Tool
	Quantitation of Mammographic Density
PART 3: Breast Cancer Diagnosis Using Thermal Data
	Wavelet-Based Thermal Image Classification for Breast Screening and Other Medical Applications
	Thermal Infrared Imaging in the Diagnosis of the Breast Cancer: Facts and Fictions
	Study of Boundary Element Methodology With Bioheat Equation for Breast Lump Application
	Performance Evaluation of Data Mining Techniques for Breast Cancer Detection With Statistical Features and Actual Temperature Data as Inputs: A Comparative Study
	Dicom Standard for Breast Thermal Imaging
	Minimally Invasive Thermal Ablation of Breast Cancer, And Imaging Assessment for Tumour Response After Ablation
PART 4: Simulation and Data Handling Applications
	Robot Assisted Breast Cancer Surgery
	FEM of Bioheat Transfer for Cryosurgery of Tumor
	Transmission of Breast Images With Patient Information: A Comparative Study
	Computational Simulation of Breast Tumour Detection Using Biopotential Analogy
	Techniques and Assessment of Breast Cancer Imaging in Small Animals

READERSHIP

This book provides information and methodologies for non-invasive assessment of organ function, for the benefit of researchers, developers, engineering and clinical professionals and teachers.