Diffusion methods for aligning medical datasets: Location prediction in CT scan images
Medical image analysis, 2014•Elsevier
The purpose of this study is to introduce diffusion methods as a tool to label CT scan images
according to their position in the human body. A comparative study of different methods
based on a k-NN search is carried out and we propose a new, simple and efficient way of
applying diffusion techniques that is able to give better location forecasts than methods that
can be considered the current state-of-the-art.
according to their position in the human body. A comparative study of different methods
based on a k-NN search is carried out and we propose a new, simple and efficient way of
applying diffusion techniques that is able to give better location forecasts than methods that
can be considered the current state-of-the-art.
Abstract
The purpose of this study is to introduce diffusion methods as a tool to label CT scan images according to their position in the human body. A comparative study of different methods based on a k-NN search is carried out and we propose a new, simple and efficient way of applying diffusion techniques that is able to give better location forecasts than methods that can be considered the current state-of-the-art.
Elsevier
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