Steve A. Adeshina

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We compare the utility of models of different structures in the hand for predicting skeletal maturity in young people. Bone age assessment is important for diagnosing and monitoring growth disorders. Statistical models of bone shape and appearance have been shown to be useful for estimating skeletal maturity. In this work we investigate the effect of the(More)
There are a number of past and ongoing research efforts on the development of e-voting systems. These works largely focus on requirements, technical specification and implementation technologies to support different aspects of the elections from registration and verification through balloting to counting and result. A major shortcoming of these studies is(More)
We describe a method for modelling and locating deformable objects using a combination of global and local shape models. An object is represented as a set of patches together with a geometric model of their relative positions. The geometry is modelled with a global pose and linear shape model, together with a Markov Random Field (MRF) model of local(More)
We seek to automatically establish dense correspondences across groups of images. Existing non-rigid registration methods usually involve local optimisation and thus require accurate initialisation. It is difficult to obtain such initialisation for images of complex structures, especially those with many self-similar parts. In this paper we show that(More)
The adoption of e-voting in different parts of the world has been generally problematic, with only few exceptions. Past studies also suggest that e-voting is embedded in the socio-politically context informing variations in the adoption patterns and nature of challenges faced during implementation. While few survey-based empirical studies have been carried(More)
We evaluate the utility of a model of the structure of the carpal area bones in the hand for predicting skeletal maturity in infants (0 -7 yrs) using a texture based statistical model of appearance. Skeletal maturity assessment is important for diagnosing and monitoring growth disorders. Statistical models of bone shape and appearance have been shown to be(More)
Skeletal maturity assessment is important for diagnosing and monitoring growth disorders in Children and young adults. Statistical models of bone shape and appearance have been shown to be useful for estimating skeletal maturity. One critical requirement in automated skeletal maturity estimation is matching built models to unseen images of the bones of the(More)
We evaluate the performance of a system which addresses the problem of building detailed models of shape and appearance of complex structures, given only a training set of representative images and some minimal manual intervention. We focus on objects with repeating structures (such as bones in the hands), which can cause normal deformable registration(More)
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(More)