Advancement of Machine Intelligence in Interactive Medical Image Analysis

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.

Provides insights into recent advances in medical image analysis using computerized intelligence Offers an overview of state-of-the-art computational intelligence research and technologies in medical decision-making Is useful for students, academics, researchers and practitioners

Autorentext

Dr. O.P. Verma is Principal of GB Pant Govt. Engineering College. Prior to this, he was head at Department of CSE, Delhi Technical University, Delhi. He has a wide professional experience of 25 years along with distinguished research activities. His current research area includes applied of computing evolutionary algorithms and many more. He has published number of research papers in SCI, SCIE, Scopus indexed Journals including IEEE Transactions. He has organised various conferences, faculty development programme, seminar and workshop etc. Recently, he was organising chair of the India International Conference on Information Processing (IICIP-2016). In 2015 he has organised faculty development programme on information security and challenges.

Dr. Sudipta Roy is a Postdoctoral Research Associate in Radiological Chemistry and Imaging Lab at Washington University in St. Louis, USA. He has received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta, on 2018. He has received his B.Tech and M.Tech in Computer Science & Engineering from University of Calcutta, on 2011 and 2013 respectively. He has authored more than forty publications in refereed national/international journals and conferences including IEEE, Springer, Elsevier and many others. He is an author of one book and many book chapters. He hold an US patent in medical image processing and filed an Indian patent in smart agricultural system. He has served as a reviewer of many international journals and conferences. He has served international advisory committee member and program committee member of AICAE-2019, INDIACom-2019, CAAI 2018, ICAITA-2018, ICSESS-2018, INDIACom-2018, ISICO-2017, AICE-2017 and many more conferences. He is serving as an Associate Editor of IEEE Access, IEEE and International Journal of Computer Vision and Image Processing (IJCVIP), IGI Global Journal. He has more than five years of experience in teaching, and research. His fields of research interests are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies.
Dr. Subhash Chandra Pandey is working as Assistant Professor at Birla Institute of Technology, Mesra, Ranchi (Patna campus). He has completed B.Sc from the University of Allahabad, UP, India. Further, he completed the AMIE (Mechanical Engg.) from the Institution of Engineers (India) and subsequently M.Tech (Computer Engineering) from Motilal Nehru National Institute of technology, UP, India. Moreover, he has done his Ph.d from Dr. APJ Abdul Kalam Technical University, Lucknow, UP, India. He has published many research papers in high impact journals and in reputed international conference proceedings. His current area of interest is Data mining. Soft computing, Bio-inspired computation, AI, machine intelligence, Philosophical aspects of machine cognition and IoT. He is the member of many professional bodies like International Association of Engineers, Hong Kong, International Association for Artificial Intelligence and Law, Computer Science Teachers Association, USA.
Dr. Mamta Mittal graduated in Computer Science & Engineering from Kurukshetra University, Kurukshetra in 2001 and received Masters' degree (Honors) in Computer Science & Engineering from YMCA, Faridabad. She has completed her Ph.D. from Thapar University Patiala in Computer Science and Engineering. She has been teaching from last 16 years with emphasis on Data Mining, Machine Learning, Soft Computing and Data Structure. She is Life time member of CSI. She has published and communicated number of research papers in SCI, SCIE, Scopus indexed Journals and attended many workshops, FDPs and Seminars. She has filed two patent one is on human surveillance system and another is on Wireless Copter for Explosive Handling and Diffusing. Presently, she is working at G.B. PANT Government Engineering College, Okhla, New Delhi (under Government of NCT Delhi) and supervising Ph.D. candidates of GGSIPU (Guru Gobind Singh Indraprastha University), Dwarka, New Delhi. She is Editor of the Book entitled "Data Intensive Computing Application for Big Data" published by IOS press, Netherland and another Book entitled "Big Data Processing Using Spark in cloud" by Springer. She is Managing Editor of International Journal of Sensors, Wireless Communications and Control Published by Bentham Science. She is reviewer of many reputed journals, Chaired number of conferences and delivered invited talks.

Inhalt
Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend.- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment.- Image Segmentation using Deep Learning Techniques.- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image.- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods.- Medical Image Processing in Detection of Abdomen Diseases.- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data.- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application.- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA.- Detecting Bone Fracture Using Transfer Learning.- GAN based novel approach for data augmentation with improved disease classification.- Automated glaucoma type identification using Machine learning or Deep learning techniques.- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis.- Artificial Intelligence based Glaucoma Detection.- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach.