A Beginner's Guide to Medical Application Development with Deep Convolutional … von Snehan Biswas; Amartya Mukherjee; Nilanjan Dey

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based deep learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond.Features: Provides programming guidance for creation of sophisticated and reliable neural networks for image processing. In...

Weiterlesen / Aufklappen

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Geräte: eReader
mit Kopierschutz
eBook Hilfe

Barrierefreiheit

Text-to-Speech
E-Mail des Verlags für Barrierefreiheitsfragen: ebookqueries@tandf.co.uk
ARIA-Rollen für verbesserte strukturelle Navigation
Navigation über vor-/zurück-Elemente ohne Inhaltsverzeichnis
Seitennummerierung folgt dem gedruckten Werk
Mathematische Inhalte in MathML für assistive Technologien
Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
Text und Medien in logischer Lesereihenfolge angeordnet
Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Snehan Biswas, is a Senior System Analyst in the department of Machine Learning and IoT, IEMA Research & Development Private Limited, India. He is a graduate in Electronics & Communication Engineering from University of Engineering and Management, Kolkata, India. His research interest includes Medical Image Processing, Machine Learning, Deep Learning, DevOps, Edge and Cloud computing. He has written several research articles in the field of Deep Learning, Machine learning, and Cloud Computing.

Amartya Mukherjee, is Head of the Department in the Department of CSE(AIML), Institute of Engineering & Management, Kolkata, India. He is currently doing his research at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He holds a master's degree in Computer Science and Engineering from the NIT, Durgapur, West Bengal, India. His research interest includes Machine Learning, Deep Learning, IoT, Wireless communication, Sensor networks, healthcare. He has written many research articles and books in the domain of IoT, Machine learning, Bio medical systems, Sensor networks.

Nilanjan Dey, is an Associate Professor in Department of Computer Science & Engineering at Techno International New Town, New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Wenzhou Medical University, China and Duy Tan University, Vietnam, He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. from Jadavpur Univeristy in 2015. He has authored/edited more than 45 books with several reputed publishers, and published more than 300 papers. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of International Federation for Information Processing (IFIP) - Young ICT Group. Recently, he has been awarded as one among the top 10 most published academics in the field of Computer Science in India (2015-17).

Produktdetails