Effects of image compression on data interpretation for telepathology

When geographical distance poses as a barrier, telepathology is designed to offer pathologists the opportunity to replicate their normal activities by using an alternative means of practice. The rapid progression in technology has greatly influenced the appeal of telepathology and its use in multipl...

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Main Author: Williams, Saunya Michelle
Published: Georgia Institute of Technology 2012
Subjects:
Online Access:http://hdl.handle.net/1853/42762
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-427622013-01-07T20:38:23ZEffects of image compression on data interpretation for telepathologyWilliams, Saunya MichelleImage analysisImage compressionTelepathologyDiagnostic imagingDigital imagesImage compressionData transmission systemsWhen geographical distance poses as a barrier, telepathology is designed to offer pathologists the opportunity to replicate their normal activities by using an alternative means of practice. The rapid progression in technology has greatly influenced the appeal of telepathology and its use in multiple domains. To that point, telepathology systems help to afford teleconsultation services for remote locations, improve the workload distribution in clinical environments, measure quality assurance, and also enhance educational programs. While telepathology is an attractive method to many potential users, the resource requirements for digitizing microscopic specimens have hindered widespread adoption. The use of image compression is extremely critical to help advance the pervasiveness of digital images in pathology. For this research, we characterize two different methods that we use to assess compression of pathology images. Our first method is characterized by the fact that image quality is human-based and completely subjective in terms of interpretation. Our second method is characterized by the fact that image analysis is introduced by using machine-based interpretation to provide objective results. Additionally, the objective outcomes from the image analysis may also be used to help confirm tumor classification. With these two methods in mind, the purpose of this dissertation is to quantify the effects of image compression on data interpretation as seen by human experts and a computerized algorithm for use in telepathology.Georgia Institute of Technology2012-02-17T19:18:35Z2012-02-17T19:18:35Z2011-08-25Dissertationhttp://hdl.handle.net/1853/42762
collection NDLTD
sources NDLTD
topic Image analysis
Image compression
Telepathology
Diagnostic imaging
Digital images
Image compression
Data transmission systems
spellingShingle Image analysis
Image compression
Telepathology
Diagnostic imaging
Digital images
Image compression
Data transmission systems
Williams, Saunya Michelle
Effects of image compression on data interpretation for telepathology
description When geographical distance poses as a barrier, telepathology is designed to offer pathologists the opportunity to replicate their normal activities by using an alternative means of practice. The rapid progression in technology has greatly influenced the appeal of telepathology and its use in multiple domains. To that point, telepathology systems help to afford teleconsultation services for remote locations, improve the workload distribution in clinical environments, measure quality assurance, and also enhance educational programs. While telepathology is an attractive method to many potential users, the resource requirements for digitizing microscopic specimens have hindered widespread adoption. The use of image compression is extremely critical to help advance the pervasiveness of digital images in pathology. For this research, we characterize two different methods that we use to assess compression of pathology images. Our first method is characterized by the fact that image quality is human-based and completely subjective in terms of interpretation. Our second method is characterized by the fact that image analysis is introduced by using machine-based interpretation to provide objective results. Additionally, the objective outcomes from the image analysis may also be used to help confirm tumor classification. With these two methods in mind, the purpose of this dissertation is to quantify the effects of image compression on data interpretation as seen by human experts and a computerized algorithm for use in telepathology.
author Williams, Saunya Michelle
author_facet Williams, Saunya Michelle
author_sort Williams, Saunya Michelle
title Effects of image compression on data interpretation for telepathology
title_short Effects of image compression on data interpretation for telepathology
title_full Effects of image compression on data interpretation for telepathology
title_fullStr Effects of image compression on data interpretation for telepathology
title_full_unstemmed Effects of image compression on data interpretation for telepathology
title_sort effects of image compression on data interpretation for telepathology
publisher Georgia Institute of Technology
publishDate 2012
url http://hdl.handle.net/1853/42762
work_keys_str_mv AT williamssaunyamichelle effectsofimagecompressionondatainterpretationfortelepathology
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