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Getting started with deep learning in circular scanning photoacoustic tomography

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Getting started with deep learning in circular scanning photoacoustic tomography / Manojit Pramanik and Praveenbalaji Rajendran.
Author:	Pramanik, Manojit,
other author:	Rajendran, Praveenbalaji,
Description:	1 online resource (71 pages) :illustrations. :
Subject:	Deep learning (Machine learning) -
Online resource:	https://dx.doi.org/10.1117/3.2681955
ISBN:	9781510664838

Getting started with deep learning in circular scanning photoacoustic tomography
Pramanik, Manojit,

Getting started with deep learning in circular scanning photoacoustic tomography [electronic resource] /Manojit Pramanik and Praveenbalaji Rajendran. - 1 online resource (71 pages) :illustrations. - SPIE spotlight ;SL71. - SPIE spotlight ;SL64..

Includes bibliographical references.

Preface -- 1 Introduction -- 2 Introduction to Deep Learning -- 3 Application of Deep Learning in PAT -- 4 Discussion and Conclusion -- References

Restricted to subscribers or individual electronic text purchasers.

"Over the past decade, Photoacoustic imaging (PAI), a novel hybrid imaging modality is gaining a lot of attention in medical imaging due to its ability to render high-resolution images with good optical contrast. Deep learning can further enhance the capability of photoacoustic imaging. This Spotlight introduces how to employ deep learning techniques to overcome some of the limitations in the circular geometry-based PAT systems."--

Mode of access: World Wide Web.

ISBN: 9781510664838

Standard No.: 10.1117/3.2681955doiSubjects--Topical Terms:

1381171
Deep learning (Machine learning)
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TA1770 / .P735 2023eb

Dewey Class. No.: 620.28

Getting started with deep learning in circular scanning photoacoustic tomography
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504 $a Includes bibliographical references.
505 0 # $a Preface -- 1 Introduction -- 2 Introduction to Deep Learning -- 3 Application of Deep Learning in PAT -- 4 Discussion and Conclusion -- References
506 # $a Restricted to subscribers or individual electronic text purchasers.
520 # $a "Over the past decade, Photoacoustic imaging (PAI), a novel hybrid imaging modality is gaining a lot of attention in medical imaging due to its ability to render high-resolution images with good optical contrast. Deep learning can further enhance the capability of photoacoustic imaging. This Spotlight introduces how to employ deep learning techniques to overcome some of the limitations in the circular geometry-based PAT systems."-- $c Provided by publisher.
530 $a Also published in print version.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Title from PDF title page (SPIE eBooks Website, viewed 2023-09-15)
650 # 0 $a Deep learning (Machine learning) $3 1381171
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700 1 # $a Rajendran, Praveenbalaji, $e author. $3 1490892
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856 4 0 $3 SPIE $u https://dx.doi.org/10.1117/3.2681955