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A Comparative Study of Techniques for Bone Age Assessment using Image Processing

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Simerjeet Kaur
10.5120/ijca2016911217

Simerjeet Kaur. A Comparative Study of Techniques for Bone Age Assessment using Image Processing. International Journal of Computer Applications 148(13):38-41, August 2016. BibTeX

@article{10.5120/ijca2016911217,
	author = {Simerjeet Kaur},
	title = {A Comparative Study of Techniques for Bone Age Assessment using Image Processing},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {13},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {38-41},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume148/number13/25821-2016911217},
	doi = {10.5120/ijca2016911217},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Bone age assessment is an innovation which empowers us to determination the age bone with the help PC picture preparing and assessment of the computerized perceptions. In this review paper we have reviewed various methods for bone age assessment like active shape modeling random forest regression method, Greulich & Pyle method, Tanner and Whitehouse method and RUS method with their advantages and disadvantages. All of the above methods provide effective assistance in processing phase of the bone age assessment.

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Keywords

Bone age, Regression, Region of interest (ROIs), Fragment, Carpal Bone, Wrist Bone, Radiographic.