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

Simerjeet Kaur | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Simerjeet Kaur

Publication year - 2016

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2016911217

Subject(s) - computer science , image (mathematics) , image processing , data science , artificial intelligence

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research