Automated web based system for bone age assessment using historam technique
Bone age assessment (BAA) is often used to evaluate the growth status of children as part of the detection of hormonal problems and genetic disorders. The determination of skeletal maturity is done based on a radiological examination of the hand-wrist skeletal area.This paper introduces a novel appr...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5117/1/AUTOMATED_WEB_BASED_SYSTEM_FOR_BONE_AGE_ASSESSMENT_USING_HISTORAM_TECHNIQUE.pdf http://eprints.um.edu.my/5117/ http://www.waset.ac.nz/journals/waset/v57/v57-6.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.um.eprints.5117 |
|---|---|
| record_format |
eprints |
| spelling |
my.um.eprints.51172015-01-20T04:34:19Z http://eprints.um.edu.my/5117/ Automated web based system for bone age assessment using historam technique Mansourvara, M. Raj, R.G. Ismail, M.A. Kareem, S.A. Shanmugam, S. Wahid, S. Mahmud, R. Abdullah, R.H. Nasaruddin, F.H. Idris, N. T Technology (General) Bone age assessment (BAA) is often used to evaluate the growth status of children as part of the detection of hormonal problems and genetic disorders. The determination of skeletal maturity is done based on a radiological examination of the hand-wrist skeletal area.This paper introduces a novel approach for BAA that utilizes a histogram based comparison technique. This approach is executed as a web based system that uses an image repository and similarity measures based on content-based image retrieval. This study aims to overcome to the limitations of traditional methods utilized to estimate human age which were often imprecise.The system provides age prediction for hand and wrist x-ray images up till age of 18 years. The results of the system evaluation indicate this method as a reliable method for BAA with the error rates of -0.170625 years compared with BoneXpert system that have returned error rate of between ±0.46 to ±0.37 years. 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/5117/1/AUTOMATED_WEB_BASED_SYSTEM_FOR_BONE_AGE_ASSESSMENT_USING_HISTORAM_TECHNIQUE.pdf Mansourvara, M. and Raj, R.G. and Ismail, M.A. and Kareem, S.A. and Shanmugam, S. and Wahid, S. and Mahmud, R. and Abdullah, R.H. and Nasaruddin, F.H. and Idris, N. (2012) Automated web based system for bone age assessment using historam technique. Malaysian Journal of Computer Science, 25 (3). pp. 107-121. http://www.waset.ac.nz/journals/waset/v57/v57-6.pdf |
| institution |
Universiti Malaya |
| building |
UM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaya |
| content_source |
UM Research Repository |
| url_provider |
http://eprints.um.edu.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Mansourvara, M. Raj, R.G. Ismail, M.A. Kareem, S.A. Shanmugam, S. Wahid, S. Mahmud, R. Abdullah, R.H. Nasaruddin, F.H. Idris, N. Automated web based system for bone age assessment using historam technique |
| description |
Bone age assessment (BAA) is often used to evaluate the growth status of children as part of the detection of hormonal problems and genetic disorders. The determination of skeletal maturity is done based on a radiological examination of the hand-wrist skeletal area.This paper introduces a novel approach for BAA that utilizes a histogram based comparison technique. This approach is executed as a web based system that uses an image repository and similarity measures based on content-based image retrieval. This study aims to overcome to the limitations of traditional methods utilized to estimate human age which were often imprecise.The system provides age prediction for hand and wrist x-ray images up till age of 18 years. The results of the system evaluation indicate this method as a reliable method for BAA with the error rates of -0.170625 years compared with BoneXpert system that have returned error rate of between ±0.46 to ±0.37 years. |
| format |
Article |
| author |
Mansourvara, M. Raj, R.G. Ismail, M.A. Kareem, S.A. Shanmugam, S. Wahid, S. Mahmud, R. Abdullah, R.H. Nasaruddin, F.H. Idris, N. |
| author_facet |
Mansourvara, M. Raj, R.G. Ismail, M.A. Kareem, S.A. Shanmugam, S. Wahid, S. Mahmud, R. Abdullah, R.H. Nasaruddin, F.H. Idris, N. |
| author_sort |
Mansourvara, M. |
| title |
Automated web based system for bone age assessment using historam technique |
| title_short |
Automated web based system for bone age assessment using historam technique |
| title_full |
Automated web based system for bone age assessment using historam technique |
| title_fullStr |
Automated web based system for bone age assessment using historam technique |
| title_full_unstemmed |
Automated web based system for bone age assessment using historam technique |
| title_sort |
automated web based system for bone age assessment using historam technique |
| publishDate |
2012 |
| url |
http://eprints.um.edu.my/5117/1/AUTOMATED_WEB_BASED_SYSTEM_FOR_BONE_AGE_ASSESSMENT_USING_HISTORAM_TECHNIQUE.pdf http://eprints.um.edu.my/5117/ http://www.waset.ac.nz/journals/waset/v57/v57-6.pdf |
| _version_ |
1643687491599859712 |
| score |
13.211869 |