Big Data in Medical Image Processing

✍ Scribed by Abdullah, A.; Rajarm, S.; Suganya, R

• Publisher: CRC Press
• Year: 2018
• Tongue: English
• Leaves: 211
• Category: Library

✦ Synopsis

"The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provided by publisher. Read more...

Abstract: "The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provided by publisher

✦ Table of Contents

Content: Big data in Medical Image Processing An Introduction on big data, Medical Image Processing, Modality of medical images, Importance of medical images, Challenges in medical images, Hadoop & Map reduce technique. Image Pre-processingIntroduction, Importance of Speckles in medical images, Types of filter, Different methodologies, Metrics for speckle reduction.Image RegistrationImportance of medical image registration, Mono modal registration, Multi modal image registration, Intensity vs Feature based registration, Similarity measures - correlation coefficients, Mutual information, Geometric transformation, Optimization techniques, Different approaches and its implementation, Applications of medical image registration - case study.Texture Feature ExtractionIntroduction on Texture analysis - Importance of dimensionality reduction- Types of feature extraction - Haralick texture features - feature selection- metricsImage Classification & RetrievalIntroduction on Machine learning techniques, Supervised vs unsupervised medical image classification, Relevance feedback classifier, Binary vs multiple SVM, Neural network, Fuzzy classifier, Image Retrieval - conclusion

✦ Subjects

Imaging systems in medicine -- Data processing.;Big data.;TECHNOLOGY & ENGINEERING -- Imaging Systems.;TECHNOLOGY & ENGINEERING -- Biomedical.;HEALTH & FITNESS -- Diseases -- General.;MEDICAL -- Clinical Medicine.;MEDICAL -- Diseases.;MEDICAL -- Evidence-Based Medicine.;MEDICAL -- Internal Medicine.