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Cover Image
Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation:
Saved in:
Bibliographic Details
Main Author: Gómez, Pablo (Author)
Format: Thesis/Dissertation Book
Language:English
Published: Düren Shaker Verlag 2019
Series:Kommunikationsstörungen - Berichte aus Phoniatrie und Pädaudiologie Band 27
Subjects:
Tiermodell
Deep Learning
Bildsegmentierung
Laryngoskop
Bildverarbeitung
Videoaufzeichnung
Stimme
Segmentierung
Hochgeschwindigkeitsfotografie
Stimmband
Parameterschätzung
Automatic Segmentation
High-Speed Videoendoskopie
High-speed Videoendoscopy
Image Processing
Neuronale Netzwerke
Phoniatrie
Recurrent Neural Network
Vocal Fold Models
Voice Parameter Estimation
Hochschulschrift
Links:http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031493899&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:140 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 237 g
ISBN:9783844068450
Staff View

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Record in the Search Index

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adam_text CONTENTS 1 INTRODUCTION 1 2 HIGH-SPEED VIDEOENDOSCOPY 11 2.1 LARYNGOSCOPIC IMAGING . 11 2.2 PRACTICAL CHALLENGES . 12 3 IMAGE PROCESSING 15 3.1 DEEP LEARNING . 15 3.2 LOW-LIGHT IMAGE ENHANCEMENT OF HIGH-SPEED VIDEO . 19 3.2.1 LOW-LIGHT ENHANCEMENT . 19 3.2.2 METRICS . 21 3.2.3 COMPARED ENHANCEMENT METHODS . 23 3.2.4 NEURAL NETWORK ARCHITECTURE . 25 3.2.5 TRAINING DATA . 28 3.3 RESULTS . 32 3.3.1 SETUP . 32 3.3.2 VALIDATION DATA . 33 3.3.3 TEST DATA . 34 3.4 DISCUSSION . 35 4 AUTOMATIC SEGMENTATION 39 4.1 SEGMENTATION OF ENDOSCOPIC HIGH-SPEED VIDEO . 39 4.2 SEMANTIC SEGMENTATION USING DEEP LEARNING . 42 5 VOCAL FOLD MODELS AND VOICE PARAMETER ESTIMATION 51 5.1 MODELS OF THE VOCAL FOLDS . 51 5.1.1 THE IMPROVED TWO-MASS-MODEL . 53 5.2 ESTIMATION OF PHYSICAL VOICE PARAMETERS . 58 5.2.1 DEGREES OF FREEDOM . 60 5.2.2 OPTIMIZATION . 63 5.3 ESTIMATION OF SUBGLOTTAL PRESSURE IN EX VIVO HIGH-SPEED VIDEOS . 66 5.3.1 SETUP . 68 5.3.2 OPTIMIZATION RESULTS . 70 5.3.3 SUBGLOTTAL PRESSURE RESULTS . 71 5.3.4 DISCUSSION . 73 5.4 SHORTCOMINGS AND LIMITATIONS . 77 6 VOICE PARAMETER ESTIMATION WITH A RECURRENT NEURAL NETWORK 81 6.1 DEEP LEARNING IN INVERSE PROBLEMS . 81 6.2 ESTIMATING SUBGLOTTAL PRESSURE WITH AN LSTM . 83 6.3 RESULTS . 89 6.3.1 SETUP . 89 6.3.2 EXPERIMENTAL RESULTS . 90 6.4 DISCUSSION . 93 6.4.1 SUBGLOTTAL PRESSURE ESTIMATION . 93 6.4.2 RUNTIME . 94 6.4.3 PARAMETER ESTIMATION AND INVERSE PROBLEMS . 95 6.4.4 BENEFIT AND APPLICABILITY OF THE APPROACH . 96 7 CONCLUSION 99 7.1 PROJECT STATUS . 99 7.2 PROJECT OUTLOOK . 101 7.2.1 TECHNICAL INNOVATION . 102 7.2.2 EXPERIMENTAL VALIDATION AND EXTENSION TO DIFFERENT PARAMETERS 102 7.2.3 CLINICAL USE CASES . 103 7.3 PROJECT IMPACT . 103 BIBLIOGRAPHY 105 LIST OF FIGURES 132 LIST OF TABLES 137
any_adam_object 1
author Gómez, Pablo
author_facet Gómez, Pablo
author_role aut
author_sort Gómez, Pablo
author_variant p g pg
building Verbundindex
bvnumber BV046113351
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discipline Medizin
Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik
format Thesis
Book
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spelling Gómez, Pablo Verfasser aut
Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation Pablo Gómez
Düren Shaker Verlag 2019
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spellingShingle Gómez, Pablo
Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation
Kommunikationsstörungen - Berichte aus Phoniatrie und Pädaudiologie
Tiermodell (DE-588)4140660-6 gnd
Deep Learning (DE-588)1135597375 gnd
Bildsegmentierung (DE-588)4145448-0 gnd
Laryngoskop (DE-588)4574271-6 gnd
Bildverarbeitung (DE-588)4006684-8 gnd
Videoaufzeichnung (DE-588)4188222-2 gnd
Stimme (DE-588)4057587-1 gnd
Segmentierung (DE-588)4180694-3 gnd
Hochgeschwindigkeitsfotografie (DE-588)4113933-1 gnd
Stimmband (DE-588)4211854-2 gnd
Parameterschätzung (DE-588)4044614-1 gnd
subject_GND (DE-588)4140660-6
(DE-588)1135597375
(DE-588)4145448-0
(DE-588)4574271-6
(DE-588)4006684-8
(DE-588)4188222-2
(DE-588)4057587-1
(DE-588)4180694-3
(DE-588)4113933-1
(DE-588)4211854-2
(DE-588)4044614-1
(DE-588)4113937-9
title Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation
title_auth Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation
title_exact_search Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation
title_full Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation Pablo Gómez
title_fullStr Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation Pablo Gómez
title_full_unstemmed Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation Pablo Gómez
title_short Deep Learning methods for processing endoscopic high-speed video and laryngeal parameter estimation
title_sort deep learning methods for processing endoscopic high speed video and laryngeal parameter estimation
topic Tiermodell (DE-588)4140660-6 gnd
Deep Learning (DE-588)1135597375 gnd
Bildsegmentierung (DE-588)4145448-0 gnd
Laryngoskop (DE-588)4574271-6 gnd
Bildverarbeitung (DE-588)4006684-8 gnd
Videoaufzeichnung (DE-588)4188222-2 gnd
Stimme (DE-588)4057587-1 gnd
Segmentierung (DE-588)4180694-3 gnd
Hochgeschwindigkeitsfotografie (DE-588)4113933-1 gnd
Stimmband (DE-588)4211854-2 gnd
Parameterschätzung (DE-588)4044614-1 gnd
topic_facet Tiermodell
Deep Learning
Bildsegmentierung
Laryngoskop
Bildverarbeitung
Videoaufzeichnung
Stimme
Segmentierung
Hochgeschwindigkeitsfotografie
Stimmband
Parameterschätzung
Hochschulschrift
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031493899&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link (DE-604)BV012101616
work_keys_str_mv AT gomezpablo deeplearningmethodsforprocessingendoscopichighspeedvideoandlaryngealparameterestimation
AT shakerverlag deeplearningmethodsforprocessingendoscopichighspeedvideoandlaryngealparameterestimation
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