Applied Intelligence for Medical Image Analysis

Discusses the latest research in medical image analysis. It deliberates advanced intelligent technologies discussing important topics including machine learning, ensemble methods in machine learning, deep learning methods and firebase technology, infrared thermography, deep convolution neural networks, and more.

Dr. Aarti is working as an Associate Professor in the Computer Science and Engineering Department at Lovely Professional University, Phagwara, India. She has more than seven years of experience in teaching. She is currently working on optimization of nature-inspired algorithms for the medical field. She is passionate in her work in data mining, machine learning, and optimization of learning techniques medical images and fault-tolerance. She has published more than 20 papers in the field of mining, security, and medical image analysis. She is reviewer of many journals. She earned her PhD and MTech from Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India.

Dr. Raju Pal has more than seven years of teaching and research experience. He is a faculty member in the Department of Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, India, where he earned his doctorate degree in Histopathological Images Analysis. He is passionate in his work in the area of machine learning, medical image analysis, and wireless sensor networks. He has made substantial contributions to the field of image processing and machine learning with over 20 published research articles. He was the part of successfully completed SERB-DST (New Delhi) funded project on Histopathological Image Analysis. He is the reviewer of many international journals, including the Journal of Communications and Networks, Future Generation Computer Systems, Neural Computing and Applications, etc.

Dr. Mukesh Saraswat has more than 18 years of teaching and research experience. He has guided PhD students and over 50 MTech and BTech in their dissertations. He has published more than 40 journal and conference papers in image processing, pattern recognition, data mining, and soft computing. He is the part of successfully completed DRDE-funded project on image analysis and is currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), under TEQIP III (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also a guest editor of the International Journal of Swarm Intelligence. He is an active member of IEEE, ACM, and CSI professional bodies. His research areas include image processing, pattern recognition, data mining, and soft computing.

Dr. Himanshu Mittal has more than seven years of teaching and research experience. He is currently Assistant Professor in the Department of Artificial Intelligence and Data Science University: Indira Gandhi Delhi Technical University for Women, Delhi, India. He was formerly a faculty member in the Department of Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, India, where he earned his doctorate degree. His interest areas include deep learning, machine learning, medical image analysis, and soft computing. He has published over research publications in the field of image analysis. He is one of members of the successfully completed SERB-DST funded project on Histopathological Image Analysis. He is the reviewer of many international journals, including Future Generation Computer Systems, International Journal of Machine Learning and Cybernetics, etc.