Lia Morra, Silvia Delsanto, Loredana Correale

Artificial Intelligence in Medical Imaging (eBook, ePUB)

From Theory to Clinical Practice

• Format: ePub

Produktbeschreibung

This book will explore AI systems being used in medical imaging, one of the most exciting topics in the field. It will be of interest to graduate students in medical physics, biomedical engineering, and computer science, in addition to researchers and medical professionals operating in the medical imaging domain.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 164
• Erscheinungstermin: 25. November 2019
• Englisch
• ISBN-13: 9781000753202
• Artikelnr.: 58318575

Autorenporträt

Lia Morra holds a Ph.D. degree in computer engineering from Politecnico di Torino, Italy. In 2006, she joined im3D to develop computer-aided diagnosis solutions for early cancer detection and screening. From 2014 to 2017, she served as im3D Chief Scientific Officer, overseeing technology development up to clinical testing and regulatory approval. In this book, she shares her decade-long experience in medical imaging research development. Currently, her research focuses on artificial vision and machine learning, as well as their applications from industry to healthcare. She has authored numerous papers and patents in the engineering, computer science and radiology domains.

Silvia Delsanto begins her experience in biomedical image analysis during her Ph.D. at the Turin Polytechnical Institute, where she develops systems for automated measurements on vascular US images. In the following years, she develops computer vision and machine learning algorithms integrated in commercial Computer Aided Detection systems and cooperates in the design and management of large-scale clinical validation studies. She leads the im3D Research from 2017 to 2018. Currently, she has expanded her research interests to other industrial applications. She has authored numerous papers in the engineering, radiology, and clinical trial domains.

Loredana Correale received her PhD in physics from the University of Roma "La Sapienza". She has studied models for disordered systems, spin glasses, statistical and combinatorial inference. Since 2006, she has been a researcher at im3D. Her research interests include medical imaging computer-aided diagnosis (CAD), and data-mining in various modalities such as breast and colon/CTC imaging. Within im3D, she actively contributes to the design and the analysis of large scale imaging trials to get new insight in the advantages and challenges of the application of CAD systems in clinical population. She has authored numerous papers in oncology, radiology, and clinical trial domains.

Inhaltsangabe

1. Fundamentals of Machine Learning.
2. Introduction to Deep Learning
3. Applying AI in Medical Imaging
4. Designing AI Systems for the Clinical Practice
5. Conclusions