作者: Sana Rebbah , Florence Nicol , Stéphane Puechmorel
DOI: 10.3390/MATH7080674
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摘要: The Fisher information metric provides a smooth family of probability measures with Riemannian manifold structure, which is an object in geometry. geometry the gamma associated distributions has been well studied. However, only few results are known for generalized that adds extra shape parameter. present article gives some new about manifold. This paper also introduces application medical imaging classification Alzheimer’s disease population. In field, over past two decades, growing number quantitative image analysis techniques have developed, including histogram analysis, widely used to quantify diffuse pathological changes neurological diseases. method presents several drawbacks. Indeed, all included not and overly simplistic estimate distribution. Thus, this study, we how using improved performance