Výsledky vyhledávání - "Werner Backfrieder"

Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets

Autor: Gerald Zwettler, David R. Holmes, Werner Backfrieder

With the steady progress of Deep Learning (DL), powerful tools are now present for sophisticated segmentation tasks. Nevertheless, the generally very high demand for training data and precise reference segmentations often cannot be met in medical dom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eddf904fac75d169963dd4efea211faa
http://hdl.handle.net/11025/38423

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Automated Domain-Specific Feature Selection for Classification-based Segmentation of Tomographic Medical Image Data

Autor: Werner Backfrieder, Gerald Zwettler

Publikováno v: International Journal of Privacy and Health Information Management. 5:53-75

Classification-based segmentation is an approach to establish generic analysis of medical image data. Significant feature sets covering different characteristics of regions to segment allow for robust discrimination of topologically defined classes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4955c590442ba32e3b38ec1008571669
https://doi.org/10.4018/ijphim.2017010104

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A multi-modal data model for morphological segmentation in 3D dosimetry

Autor: Werner Backfrieder

Publikováno v: Proceedings of the 8th International Workshop on Innovative Simulation for Healthcare (IWISH 2019).

"Patient specific dosimetry established during the last decade in modern radio-therapy. Usually, tracer kinetics in main compartments of observed metabolism is assessed from anterior and posterior whole body scans. The effective doses for each organ,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a1ae127351fd9673f2ae65d71f0080b
https://doi.org/10.46354/i3m.2019.iwish.004

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Topological Fragmentation of Medical 3D Surface Mesh Models for Multi-Hierarchy Anatomical Classification

Autor: Gerald Zwettler, Werner Backfrieder

Publikováno v: International Journal of Electronics and Telecommunications. 61:129-136

High resolution 3D mesh representations of patient anatomy with appendant functional classification are of high importance in the field of clinical education and therapy planning. Thereby, classification is not always possible directly from patient m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1609cbb7d899f71c058adfbc01aa95b6
https://doi.org/10.1515/eletel-2015-0016

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Evaluations on the Applicability of Generic and Modular Image Processing Chains for Quantitative 3D Data Analysis in Clinical Research and Radiographer Training

Autor: Gerald Zwettler, Werner Backfrieder

Publikováno v: International Journal of Privacy and Health Information Management. 3:20-41

The introduction of digital imaging and diagnostics facilities has fundamentally changed radiology. Nevertheless, theory of digital image processing and analysis as well as their practical application are still only a subsidiary part in nowadays radi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95e1363b599bbaf9f3bcd007cbc50fcf
https://doi.org/10.4018/ijphim.2015010102

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Evaluations on the Applicability of Generic and Modular Image Processing Chains for Quantitative 3D Data Analysis in Clinical Research and Radiographer Training

Autor: Gerald Adam Zwettler, Werner Backfrieder

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da3b5cdedcd731280c6fc97d3f7dee04
https://doi.org/10.4018/978-1-5225-0571-6.ch063

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A New Hybrid Algorithm based on Watershed Method, Confidence Connected Thresholding and Region Merging as Preprocessing for Statistical Classification of General Medical Images

Autor: Werner Backfrieder, Gerald Zwettler

Publikováno v: International Journal of Privacy and Health Information Management. 1:38-56

Segmentation of morphology in medical image data is a highly context specific and differs from various imaging modalities, necessitating the use of sophisticated mathematical models and algorithms to achieve good results. In this work an algorithm is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fed6039e26841fe347600321453a96d3
https://doi.org/10.4018/ijphim.2013070104

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Evolution strategy classification utilizing meta features and domain-specific statistical a priori models for fully-automated and entire segmentation of medical datasets in 3D radiology

Autor: Werner Backfrieder, Gerald Zwettler

Publikováno v: 2015 International Conference on Computing and Communications Technologies (ICCCT).

The employment of modern machine learning algorithms marks a huge advance towards automated and generalized segmentation in medical image analysis. Entire radiological datasets are classified, leading to a meaningful morphological interpretation, cle

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61cccbcd731f1e60661ddb33446b0001
https://doi.org/10.1109/iccct2.2015.7292712

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