Search results: Found 3

Listing 1 - 3 of 3
Sort by
Brain and Human Body Modeling

Authors: --- ---
ISBN: 9783030212933 Year: Pages: 402 DOI: 10.1007/978-3-030-21293-3 Language: English
Publisher: Springer Nature
Subject: Agriculture (General) --- Medicine (General)
Added to DOAB on : 2020-02-05 11:21:08
License:

Loading...
Export citation

Choose an application

Abstract

This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery

Author:
Book Series: Springer Theses ISSN: 2190-5053 ISBN: 9783319303291 9783319303307 Year: Pages: 99 DOI: 10.1007/978-3-319-30330-7 Language: English
Publisher: Springer Nature
Subject: Medical technology
Added to DOAB on : 2016-12-20 12:03:50
License:

Loading...
Export citation

Choose an application

Abstract

This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

Bioimage Data Analysis Workflows

Authors: ---
Book Series: Learning Materials in Biosciences ISBN: 9783030223861 Year: Pages: 170 DOI: 10.1007/978-3-030-22386-1 Language: English
Publisher: Springer Nature
Subject: Biology --- Medicine (General)
Added to DOAB on : 2020-02-04 11:21:06
License:

Loading...
Export citation

Choose an application

Abstract

This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.

Listing 1 - 3 of 3
Sort by
Narrow your search

Publisher

Springer Nature (3)


License

CC by (2)

CC by-nc (1)


Language

english (3)


Year
From To Submit

2020 (1)

2019 (1)

2016 (1)