A statistical comparison of digital X-ray images for MTB patients

A common practice in medical diagnosis and patient management is the comparison of two chest radiographs images. The difference between two digital images at two time points is a measure of the effect of treatment on the patient. Two measures of similarity, the ordinary regression coefficients, RS2...

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Main Authors: Rijal, Omar Mohd., Noor, Norliza Mohd., Shaban, Hamidah, Shee, T. L.
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/7687/1/Rijal_Omar_Mohd_2005_Statistical_Comparison_Digital_X-Ray_Images.pdf
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author Rijal, Omar Mohd.
Noor, Norliza Mohd.
Shaban, Hamidah
Shee, T. L.
author_facet Rijal, Omar Mohd.
Noor, Norliza Mohd.
Shaban, Hamidah
Shee, T. L.
author_sort Rijal, Omar Mohd.
collection ePrints
description A common practice in medical diagnosis and patient management is the comparison of two chest radiographs images. The difference between two digital images at two time points is a measure of the effect of treatment on the patient. Two measures of similarity, the ordinary regression coefficients, RS2 and coefficients of determination for the Unreplicated linear functional relationship model (ULFR), RF2, are used to compare images for the particular case of Mycobacterium Tuberculosis (MTB). Our results suggest that a series of R2 values indicates gradual declining trends with values falling within a band. New patients with a series of R2 values falling within this band may be consider as making a good or acceptable recovery.
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spelling utm.eprints-76872017-08-30T04:51:21Z http://eprints.utm.my/7687/ A statistical comparison of digital X-ray images for MTB patients Rijal, Omar Mohd. Noor, Norliza Mohd. Shaban, Hamidah Shee, T. L. QH301 Biology A common practice in medical diagnosis and patient management is the comparison of two chest radiographs images. The difference between two digital images at two time points is a measure of the effect of treatment on the patient. Two measures of similarity, the ordinary regression coefficients, RS2 and coefficients of determination for the Unreplicated linear functional relationship model (ULFR), RF2, are used to compare images for the particular case of Mycobacterium Tuberculosis (MTB). Our results suggest that a series of R2 values indicates gradual declining trends with values falling within a band. New patients with a series of R2 values falling within this band may be consider as making a good or acceptable recovery. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7687/1/Rijal_Omar_Mohd_2005_Statistical_Comparison_Digital_X-Ray_Images.pdf Rijal, Omar Mohd. and Noor, Norliza Mohd. and Shaban, Hamidah and Shee, T. L. (2005) A statistical comparison of digital X-ray images for MTB patients. In: Annual International Conference of IEEE Engineering in Medical and Biology-Proceedings, 1-4 Sept. 2005, Shanghai, China. http://dx.doi.org/10.1109/IEMBS.2005.1615967
spellingShingle QH301 Biology
Rijal, Omar Mohd.
Noor, Norliza Mohd.
Shaban, Hamidah
Shee, T. L.
A statistical comparison of digital X-ray images for MTB patients
title A statistical comparison of digital X-ray images for MTB patients
title_full A statistical comparison of digital X-ray images for MTB patients
title_fullStr A statistical comparison of digital X-ray images for MTB patients
title_full_unstemmed A statistical comparison of digital X-ray images for MTB patients
title_short A statistical comparison of digital X-ray images for MTB patients
title_sort statistical comparison of digital x ray images for mtb patients
topic QH301 Biology
url http://eprints.utm.my/7687/1/Rijal_Omar_Mohd_2005_Statistical_Comparison_Digital_X-Ray_Images.pdf
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