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    • 2. 发明授权
    • Producing object cutouts in topically related images
    • 在局部相关图像中产生物体切口
    • US08280164B2
    • 2012-10-02
    • US12397547
    • 2009-03-04
    • Jiebo LuoDhruv BatraAndrew C. Gallagher
    • Jiebo LuoDhruv BatraAndrew C. Gallagher
    • G06K9/34
    • G06K9/34G06T7/11G06T7/143G06T11/60G06T2207/20101
    • A method for extracting an object out of each image in a group of digital images that contain the object, includes providing a group of digital images, each containing the object with a background; selecting a seed image from the group of digital images, and displaying the seed image to a user; the user providing at least one marking for the seed image, which corresponds to a subset of pixels in the seed image that indicates whether the set of pixels belongs to a part of object of interest or a part of the background; producing from the seed image and the marking a statistical model that can be used for separating the object of interest from the background in the group of images; and applying the statistical model to each image in the group of digital images to produce a cutout of the object of interest from each digital image.
    • 一种用于从包含对象的数字图像组中的每个图像中提取对象的方法包括:提供一组数字图像,每个数字图像包含具有背景的对象; 从所述数字图像组中选择种子图像,并将所述种子图像显示给用户; 用户为种子图像提供至少一个标记,其对应于种子图像中的像素子集,其指示所述像素集合是属于感兴趣对象的一部分还是背景的一部分; 从种子图像产生并标记可用于将感兴趣对象与图像组中的背景分离的统计模型; 以及将所述统计模型应用于所述数字图像组中的每个图像,以从每个数字图像产生所述感兴趣对象的切口。
    • 6. 发明申请
    • PRODUCING OBJECT CUTOUTS IN TOPICALLY RELATED IMAGES
    • 在主题相关图像中生产对象切割
    • US20100226566A1
    • 2010-09-09
    • US12397547
    • 2009-03-04
    • Jiebo LuoDhruv BatraAndrew C. Gallagher
    • Jiebo LuoDhruv BatraAndrew C. Gallagher
    • G06K9/00G06K9/34G06T11/20
    • G06K9/34G06T7/11G06T7/143G06T11/60G06T2207/20101
    • A method for extracting an object out of each image in a group of digital images that contain the object, includes providing a group of digital images, each containing the object with a background; selecting a seed image from the group of digital images, and displaying the seed image to a user; the user providing at least one marking for the seed image, which corresponds to a subset of pixels in the seed image that indicates whether the set of pixels belongs to a part of object of interest or a part of the background; producing from the seed image and the marking a statistical model that can be used for separating the object of interest from the background in the group of images; and applying the statistical model to each image in the group of digital images to produce a cutout of the object of interest from each digital image.
    • 一种用于从包含对象的数字图像组中的每个图像中提取对象的方法包括:提供一组数字图像,每个数字图像包含具有背景的对象; 从所述数字图像组中选择种子图像,并将所述种子图像显示给用户; 用户为种子图像提供至少一个标记,其对应于种子图像中的像素子集,其指示所述像素集合是属于感兴趣对象的一部分还是背景的一部分; 从种子图像产生并标记可用于将感兴趣对象与图像组中的背景分离的统计模型; 以及将所述统计模型应用于所述数字图像组中的每个图像,以从每个数字图像产生所述感兴趣对象的切口。
    • 9. 发明授权
    • Segmenting occluded anatomical structures in medical images
    • 在医学图像中分割闭塞的解剖结构
    • US07382907B2
    • 2008-06-03
    • US10994714
    • 2004-11-22
    • Jiebo LuoAmit Singhal
    • Jiebo LuoAmit Singhal
    • G06K9/00
    • G06T7/0012G06T7/12G06T7/149G06T2207/10116G06T2207/20081G06T2207/30048G06T2207/30061
    • A method for segmenting an anatomical structure having portions occluded in a digital image wherein the digital image is produced by a projection-based medical imaging modality. The method includes the steps of: outlining an unoccluded portion of the anatomical structure in a training image; augmenting the occluded portion of the anatomical structure according to a pre-determined atlas of the anatomical structure; generating an augmented training example using the outlined and augmented portions; repeating the steps of outlining, augmenting, and generating for a plurality of training images to train a statistical model of the structure; accessing the digital image; and segmenting the anatomical structure in the accessed digital image according to the statistical model.
    • 一种用于分割具有封闭在数字图像中的部分的解剖结构的方法,其中通过基于投影的医学成像模式产生数字图像。 该方法包括以下步骤:概述训练图像中解剖结构的未被占领的部分; 根据解剖结构的预定图谱增加解剖结构的闭塞部分; 使用概述和增加的部分生成增强的训练示例; 重复概述,增加和生成多个训练图像以训练该结构的统计模型的步骤; 访问数字图像; 并根据统计模型分割所访问的数字图像中的解剖结构。