Zhou Luping, Hartley Richard, Wang Lei, Lieby Paulette, Barnes Nick
RSISE, The Australian National University.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):628-35. doi: 10.1007/978-3-540-85988-8_75.
The "discriminative direction" has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direction, its deformation will best manifest the class difference detected by a kernel classifier. However, we observe that such a direction cannot maintain a shape's "anatomical" correctness, introducing spurious difference. To overcome this drawback, we develop a regularized discriminative direction by requiring a shape to conform to its population distribution when it deforms along the discriminative direction. Instead of iterative optimization, an analytic solution is provided to directly work out this direction. Experimental study shows its superior performance in detecting and localizing the difference of hippocampal shapes for sex. The result is supported by other independent research in the same domain.
“判别方向”已被证明有助于揭示两种解剖形状类别之间的细微差异。当一个形状沿着这个方向移动时，其变形将最能体现内核分类器检测到的类别差异。然而，我们观察到这样一个方向无法保持形状的“解剖学”正确性，会引入虚假差异。为了克服这一缺点，我们通过要求形状在沿着判别方向变形时符合其总体分布来开发一种正则化判别方向。我们提供了一个解析解，而不是迭代优化，以直接求出这个方向。实验研究表明，它在检测和定位海马形状的性别差异方面具有卓越性能。同一领域的其他独立研究也支持这一结果。
