Detection Systems in Lung Cancer and Imaging, Volume 1

— —

Ayman El-Baz (University of Lousiville, USA) Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)

Detection Systems in Lung Cancer and Imaging, Volume 1

Ayman El-Baz (University of Lousiville, USA), Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)

$390.95 $312.80

Hardback

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

Institute of Physics Publishing
20 January 2022

Medical imaging; Biomedical engineering; Medical physics

Series: IOP ebooks

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of Computer aided diagnosis (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students.

Key Features:

• Unique focus on advance work in detection system and classification systems.

• An updated reference for lung cancer detection via imaging.

• Focus on progressive deep learning and machine learning applications for more effective

detection.

Edited by: Ayman El-Baz (University of Lousiville USA), Jasjit Suri (The American Institute for Medical and Biological Engineering, USA)
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm, Spine: 14mm
Weight: 636g
ISBN: 9780750333535
ISBN 10: 0750333537
Series: IOP ebooks
Pages: 240
Publication Date: 20 January 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Contents 1. Lung Cancer Classification Using Wavelet Recurrent Neural Network 2. Diagnosis of Diffusion-Weighted Magnetic Resonance Imaging (DWI) For Lung Cancer 3. Computer Assisted Detection of Low/High Grade Nodule from Lung CT Scan Slices Using Handcrafted Features 4. Computer-Aided Lung Cancer Screening in Computed Tomography: State of the Art and Future Perspectives 5. Radiation Therapy in Lung Cancer Treatment 6. Application of Visual Sensing Technology in Lung Cancer Screening 7. Precision Molecular Imaging Can Perhaps Be Enhanced For Lung Cancer Management Via Integrated Analysis Of General Parameters Such As Age, Gender, Genetics, And Lifestyle 8. Computed Tomography Ventilation Imaging In Lung Cancer: Theory, Validation And Application 9. Novel Non-invasive Methods Used in the Early Detection of Lung Cancer: From Biomarkers to Nanosystems 10. Heat Shock Proteins as Biomarkers for Early Stage Diagnosis of Lung Cancer

Ayman El-Baz, Ph.D., is is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at AlAlamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or co-authored more than 700 technical articles. Jasjit S. Suri, PhD, MBA is a Fellow of IEEE, AIMBE, SVM, AIUM, and APVS. He is currently the Chairman of AtheroPoint, Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly ~22,000 citations, co-authored 50 books, and has an H-index of 72.