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

ISBN-13: 9780367674953 / Miękka / 2023 / 196 str.

Opis

Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools.

Spis treści

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

O autorze

Rohit Raja is working as associate professor in the IT Department at the Guru Ghasidas, Vishwavidyalaya, Bilaspur (CG). He has done PhD in Computer Science and Engineering in 2016 from C. V. Raman University, India. His primary research interests include face recognition, signal processing and networking and data mining. He has successfully filed 10 patents. He has 80 research publications to his credit in various international/national journals (including IEEE, Springer etc.) and in proceedings of reputed international/national conferences (including Springer and IEEE). He was invited thrice as a guest in Scopus indexed IEEE/Springer conferences. He has been invited four times, being an expert, in various colleges and universities in India. He has the following awards to his credit: "Excellence in Research" Award under the category of HEI Professor by Auropath Global Awards, 2019; the "Distinguished Research Award", I2OR Awards 2019, during the 4th International Conclave on Interdisciplinary Research for Sustainable Development 2020 (IRSD 2020); and the second runner up award in grand finale of Smart India Hackathon, 2017, Ministry of Skill Development and Entrepreneurship, Government of India.

He is a member of professional international society including IEEE, ISTE, CSI, ACM etc. He is editor/reviewer of many peer-reviewed and refereed journals (including IEEE, Springer, enderscience).

Sandeep Kumar is presently working as a professor in the Department of Electronics & Communication Engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. He has good academic and research experience in various areas of electronics and communication. His areas of research include embedded system, image processing, biometrics and machine learning. He has successfully filed eight patents – seven national and one international. He was invited thrice as a guest in Scopus indexed IEEE/Springer conferences. He has been invited four times, being an expert, in various colleges and universities in India. He has published 70 research papers in various international/national journals (including IEEE, Springer etc.) and in the proceedings of the reputed international/national conferences (including Springer and IEEE). He has been awarded the "Best Paper Presentation" award in Nepal and in India, respectively, 2017 and 2018. He has been awarded the "Best Performer Award" in Hyderabad, India, 2018. He has also been awarded the "Young Researcher Award" in Thailand, 2018, and the "Best Excellence Award" in Delhi, 2019. He is an active member of 17 professional international societies. He has been nominated in the board of editors/reviewers of 25 peer-reviewed and refereed journals (including IEEE and Springer). He has conducted three international conferences and six workshops. He is also attended 24 seminars, workshops and short-term courses in IITs etc. He is a research guide for a number of Ph.D and M.Tech students.

Shilpa Rani is presently working as an assistant professor in the Department of Computer Science and Engineering, Neil Gogte Institute of Technology, Hyderabad, India. She has good academic and research experience in various areas of computer science. Her area of research includes image processing, IOT, and big data. She has successfully filed three patents. She has published a number of research papers in various international/national journals (including IEEE, Springer etc.). She has been awarded the gold medal in 2012 during M.Tech. She is an active member of 10 professional international societies. She has been nominated in the board of editors/reviewers of four peer-reviewed and refereed journals. She has also attended 15 seminars, workshops and short-term courses in JNTUH and others. She has published two text books Logical & Functional Programming, Ashirwad Publication, 2009–2010 and Software Engineering, VAYU Education of India, 2011. Her third book has been accepted at an international level by Taylor & Francis, USA

K. Ramya Laxmi has worked as team lead and senior software developer at InfoTech Pvt Ltd for four years. Presently she is working as associate professor in the CSE Department at the Sreyas Institute of Engineering and Technology, Hyderabad. Her research interests cover the fields of data mining, machine learning and image processing. She has good academics and research experience in various areas of Computer Science. She has good hands-on-experience in PHP and Python and has knowledge of tools such as Pentaho and Weka, and is apt at analysing statistics using R-Programming.