Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Rohit Raja (GGV (a central university) bilaspur), Sandeep Kumar, Shilpa Rani , K. Ramya Laxmi

$96.99

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
25 September 2023

Biomedical engineering; Electronic devices & materials; Automatic control engineering; Environmental science, engineering & technology; Artificial intelligence

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.

Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.

This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.

This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.

FEATURES

Highlights the framework of robust and novel methods for medical image processing techniques

Discusses implementation strategies and future research directions for the design and application requirements of medical imaging

Examines real-time application needs

Explores existing and emerging image challenges and opportunities in the medical field

Edited by: Rohit Raja (GGV (a central university) bilaspur), Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.080kg
ISBN: 9780367674953
ISBN 10: 0367674955
Pages: 196
Publication Date: 25 September 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

1. An Introduction to Medical Image Analysis in 3D 2. Automated Epilepsy Seizure Detection from EEG Signals Using Deep CNN Model 3. Medical Image De-Noising Using Combined Bayes Shrink and Total Variation Techniques 4. Detection of Nodule and Lung Segmentation Using Local Gabor XOR Pattern in CT Images 5. Medical Image Fusion Using Adaptive Neuro Fuzzy Inference System 6. Medical Imaging in Healthcare Applications 7. Classiﬁcation of Diabetic Retinopathy by Applying an Ensemble of Architectures 8. Compression of Clinical Images Using Different Wavelet Function 9. PSO-Based Optimized Machine Learning Algorithms for the Prediction of Alzheimer’s Disease 10. Parkinson’s Disease Detection Using Voice Measurements 11. Speech Impairment Using Hybrid Model of Machine Learning 12. Advanced Ensemble Machine Learning Model for Balanced BioAssays 13. Lung Segmentation and Nodule Detection in 3D Medical Images Using Convolution Neural Network

Rohit Raja, Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi