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    • 9. 发明公开
    • UNSUPERVISED TRAINING FOR AN ATLAS-BASED REGISTRATION
    • UNÜBERWACHTES培训FÜREINE ATLASBASIERTE REGISTRIERUNG
    • EP3111373A1
    • 2017-01-04
    • EP15714930.3
    • 2015-02-17
    • Koninklijke Philips N.V.
    • FRANZ, Astrid RuthSCHADEWALDT, NicoleSCHULZ, HeinrichBYSTROV, DanielVIK, Torbjoern
    • G06K9/62G06T7/00
    • G06T7/32G06K9/6255G06K2009/2045G06K2209/05G06T7/35G06T2207/10081G06T2207/20076G06T2207/20081G06T2207/30004
    • A method includes obtaining a single training image from a set of training images in a data repository. The method further includes generating an initial tissue class atlas based on the obtained single training image. The initial tissue class atlas includes two or more different tissue class images corresponding to two or more different tissue classes. The method further includes registering the remaining training images of the set of training images to the initial tissue class atlas. The method further includes generating a quality metric for each of the registered images. The method further includes evaluating the quality metric of each of the registered image with a predetermined evaluation criterion. The method further includes identifying a sub-set of images from the set of training images that satisfy the evaluation criterion. The method further includes generating a subsequent tissue class atlas based on the identified sub-set of the set of training images.
    • 一种方法包括从数据存储库中的一组训练图像获得单个训练图像。 该方法还包括基于获得的单个训练图像生成初始组织类图集。 初始组织类图集包括对应于两个或多个不同组织类别的两个或更多个不同的组织分类图像。 该方法还包括将该组训练图像的剩余训练图像记录到初始组织分类图集。 该方法还包括为每个登记图像生成质量度量。 该方法还包括以预定的评估标准评估每个登记图像的质量度量。 该方法还包括从满足评估标准的训练图像集中识别图像的子集。 该方法还包括基于所识别的该组训练图像的子集来生成随后的组织分类图集。