Computational Forensic Imaging and AI-Driven Radiological Diagnostics
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Beschreibung
This book explores cutting-edge AI algorithms, deep learning techniques, and computer vision applications for forensic and medical image analysis. This book offers an in-depth examination of AI-powered radiology, forensic facial reconstruction, automated pathology detection, and the role of deep learning in crime scene analysis. It bridges the gap between computer science, medicine, and forensic science by discussing real-world case studies, ethical considerations, and future trends. This book is designed for postgraduate students, researchers, forensic scientists, radiologists, and AI engineers; it provides a comprehensive resource for professionals and academics working at the intersection of artificial intelligence, medical imaging, and forensic science.
This book explores cutting-edge AI algorithms, deep learning techniques, and computer vision applications for forensic and medical image analysis. This book offers an in-depth examination of AI-powered radiology, forensic facial reconstruction, automated pathology detection, and the role of deep learning in crime scene analysis. It bridges the gap between computer science, medicine, and forensic science by discussing real-world case studies, ethical considerations, and future trends. This book is designed for postgraduate students, researchers, forensic scientists, radiologists, and AI engineers; it provides a comprehensive resource for professionals and academics working at the intersection of artificial intelligence, medical imaging, and forensic science.
Features real-world applications and case studies from forensic crime investigations and AI-driven medical diagnostics Covers latest advancements in DL, neural networks, and computer vision applied to forensic and radiological imaging Explores future growth, including AI-driven autopsy imaging, virtual forensics, and automated radiological reporting
Autor*in
Jay Kumar Pandey
Themen in »Computational Forensic Imaging and AI-Driven Radiological Diagnostics«
Computational Forensic Imaging AI-Driven Radiology Machine Learning in Medical Imaging Deep Learning for Forensics Medical Image Analysis Artificial Intelligence in Diagnostics Computer Vision in Healthcare