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Advanced Machine Vision Paradigms for Medical Image Analysis

ISBN-13: 9780128192955 / Angielski / Miękka / 2020 / 308 str.

Tapan K. Gandhi; Siddhartha Bhattacharyya; Sourav de
Advanced Machine Vision Paradigms for Medical Image Analysis Tapan K. Gandhi Siddhartha Bhattacharyya Sourav de 9780128192955 Academic Press - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Advanced Machine Vision Paradigms for Medical Image Analysis

ISBN-13: 9780128192955 / Angielski / Miękka / 2020 / 308 str.

Tapan K. Gandhi; Siddhartha Bhattacharyya; Sourav de
cena 575,58
(netto: 548,17 VAT:  5%)

Najniższa cena z 30 dni: 569,69
Termin realizacji zamówienia:
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Kategorie:
Inne
Kategorie BISAC:
Computers > Artificial Intelligence - Computer Vision & Pattern Recognition
Wydawca:
Academic Press
Seria wydawnicza:
Hybrid Computational Intelligence for Pattern Analysis and U
Język:
Angielski
ISBN-13:
9780128192955
Rok wydania:
2020
Numer serii:
001062863
Ilość stron:
308
Waga:
4.96 kg
Wymiary:
22.86 x 15.24 x 1.63
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Bibliografia

1. Computer Aided Decision Support System for symmetry based prenatal congenital heart defects 2. Morphological Extreme Learning Machines applied to the detection and classification of mammary lesions 3. 4D Medical Image Analysis: A Systematic Study on Applications, Challenges and Future Research Directions 4. Comparative Analysis of Hybrid Fusion Algorithms using Neurocysticercosis, Neoplastic, Alzheimer's and Astrocytoma Disease affected Multimodality Medical Images 5. Binary Descriptors Design for the Automatic Detection of Coronary Arteries using Metaheuristics 6. A Cognitive Perception on Content Based Image Retrieval using Advanced Soft Computing Paradigm 7. Early detection of Parkinson's Disease Using Data Mining Techniques from Multi-Modal Clinical Data 8. Contrast Improvement of Medical Images Using Advanced Fuzzy Logic Based Technique 9. Intelligent Heart Disease Prediction On Physical and Mental Parameters: A ML Based IoT and Big Data Application & Analysis

Dr Tapan K Gandhi is currently working as Associate Professor in the Dept. of Electrical Engineering, IIT Delhi and adjunct faculty in the school of AI and data science, IIT Jodhpur. He is also a research affiliate at MIT, USA. He received his Ph.D. fellowship from (MIT, USA) and obtained his Ph.D. in Biomedical Engineering from IIT Delhi. He has published papers in top ranking journals and has more than 150 publications in international journals and conference proceedings. He is PI & Co-PI of many funded projects from Industry, International Organizations as well as Govt. of India organizations. Siddhartha Bhattacharyya is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit. Dr. Sourav De completed his PhD in Computer Science and Technology at the Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science & Engineering at Cooch Behar Government Engineering College, West Bengal. He is a co-author of one book, the co-editor of twelve books, and has more than 54 research publications in internationally reputed journals, international edited books, international IEEE conference proceedings, and one patent to his credit. His research interests include soft computing, pattern recognition, image processing, and data mining. Dr. De is a senior member of IEEE and a member of ACM, Institute of Engineers (IEI), Computer Science Teachers Association (CSTA), Institute of Engineers and IAENG, Hong Kong. He is a life member of ISTE, India. Debanjan Konar is an Assistant Professor at the Department of Computer Science and Engineering at Sikkim Manipal Institute of Technology, India. He is pursuing PhD from Indian Institute of Technology, Delhi and about to submit the PhD thesis on Quantum Self-supervised Neural Network for Medical Image Segmentation. His research interests include quantum computing, deep learning, machine learning, and medical image segmentation. He has published several papers in these areas in leading journals and IEEE international conferences. He is also a reviewer for various international journals and conferences. Dr. Sandip Dey completed his PhD in Computer Science and Engineering at Jadavpur University, India in 2016. He is currently an Assistant Professor in the Department of Computer Science at Sukanta Mahavidyalaya, Jalpaiguri. He has more than 40 research publications in international journals, book chapters and conference proceedings to his credit. He has authored or edited four books, published by John Wiley & Sons and Elsevier. His research interests include soft computing, quantum computing and image analysis.



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