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2016 | Book

Introduction Read chapter Read first chapter

Signal and Image Processing in Medical Applications

Authors: Amit Kumar, Fahimuddin Shaik, B Abdul Rahim, D.Sravan Kumar

Publisher: Springer Singapore

Book Series : SpringerBriefs in Applied Sciences and Technology

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

This book highlights recent findings on and analyses conducted on signals and images in the area of medicine. The experimental investigations involve a variety of signals and images and their methodologies range from very basic to sophisticated methods. The book explains how signal and image processing methods can be used to detect and forecast abnormalities in an easy-to-follow manner, offering a valuable resource for researchers, engineers, physicians and bioinformatics researchers alike.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Since Human Life is worthier than all things, many efforts have been carried out today to diagnose a disease and its disorders. With the sophistication in automated computing systems Bio-Medical signal and image analysis is made simple. Today there is an increase in interest for setting up medical system that can screen a large number of people for threatening diseases. Recently, modern medical instruments are able to produce views which can be used for better diagnoses and accurate treatment.
Amit Kumar, Fahimuddin Shaik, B. Abdul Rahim, D. Sravan Kumar
Chapter 2. A Novel Approach in ECG Signal Processing
Abstract
The following figures represent the simulation results for different contaminated noisy ECG signals which are applied to the Kalman filter and Improved Kalman filter.
Amit Kumar, Fahimuddin Shaik, B. Abdul Rahim, D. Sravan Kumar
Chapter 3. Talc Embolism: Detection of Talc Deposition in Lungs
Abstract
The implemented method is used to enhance and segment the medical image. Here Contrast limited adaptive Histogram Equalization (CLAHE) enhancement techniques is used to enhance the medical images, and Morphological segmentation is used to segment the Enhanced medical image.
Amit Kumar, Fahimuddin Shaik, B. Abdul Rahim, D. Sravan Kumar
Chapter 4. Image Enhancement of Leukemia Microscopic Images
Abstract
Fig. 4.1 is a microscopic image of effected cells with Hodgkin’s disease. This image consists of lymphocytes, RS cells, neutrophils, leukocytes etc., and all these cells present in a bone marrow.
Amit Kumar, Fahimuddin Shaik, B. Abdul Rahim, D. Sravan Kumar
Chapter 5. DNA Micro Array Analysis
Abstract
To extract the features (Spots) from DNA Microarray Images for better understanding of the gene expression analysis using Image segmentation.
Amit Kumar, Fahimuddin Shaik, B. Abdul Rahim, D. Sravan Kumar
Metadata
Title
Signal and Image Processing in Medical Applications
Authors
Amit Kumar
Fahimuddin Shaik
B Abdul Rahim
D.Sravan Kumar
Copyright Year
2016
Publisher
Springer Singapore
Electronic ISBN
978-981-10-0690-6
Print ISBN
978-981-10-0689-0
DOI
https://doi.org/10.1007/978-981-10-0690-6