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    • 2. 发明申请
    • IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM
    • 图像处理设备,图像处理方法和计算机程序
    • US20120070059A1
    • 2012-03-22
    • US13375171
    • 2010-05-13
    • Daisuke FurukawaHiroshi ImamuraYoshihiko Iwase
    • Daisuke FurukawaHiroshi ImamuraYoshihiko Iwase
    • G06K9/46
    • G06T7/0014A61B3/102G06T2207/10101G06T2207/20036G06T2207/30041
    • An image processing apparatus comprising, boundary extraction means for detecting boundaries of retina layers from a tomogram of an eye to be examined, exudate extraction means for extracting an exudate region from a fundus image of the eye to be examined, registration means for performing registration between the tomogram and the fundus image, and calculating a spatial correspondence between the tomogram and the fundus image, specifying means for specifying a region where an exudate exists in the tomogram using the boundaries of the retina layers, the exudate region, and the spatial correspondence, likelihood calculation means for calculating likelihoods of existence of the exudate in association with the specified region, and tomogram exudate extraction means for extracting an exudate region in the tomogram from the specified region using the likelihoods.
    • 一种图像处理装置,包括:边界提取装置,用于从要检查的眼睛的断层图像中检测视网膜层的边界;渗出提取装置,用于从要检查的眼睛的眼底图像提取渗出物区域;登记装置, 断层图像和眼底图像,以及计算断层图像和眼底图像之间的空间对应关系;指定装置,用于使用视网膜层,渗出区域和空间对应的边界指定层析图像中存在渗出物的区域, 用于计算与指定区域相关联的渗出物存在的可能性的似然计算装置,以及使用这些似然性从指定区域提取断层图像中的渗出区域的断层图像渗出提取装置。
    • 8. 发明授权
    • Image processing apparatus and method
    • 图像处理装置及方法
    • US08794760B2
    • 2014-08-05
    • US13051391
    • 2011-03-18
    • Daisuke FurukawaYuta NakanoKenji Morita
    • Daisuke FurukawaYuta NakanoKenji Morita
    • A61B3/14A61B3/00
    • A61B3/14G06T7/12G06T7/136G06T2207/10101G06T2207/30041
    • An image processing apparatus for supporting imaging diagnosis of an eye is provided. A layer boundary of a retina region is detected from a tomographic image. A position where the detected layer boundary intersects with an upper or lower limit position of the image in the depth direction of the tomographic image is determined as a dividing position. The tomographic image is divided at the determined dividing position by a scan line in the depth direction of the tomographic image. Subsequently, whether the detection is a false detection is judged for each divided region. An average density value of the image outside the retina region according to the detected result is calculated for each divided region, and the detection in the divided region is judged to be a false detection if the average density value is equal to or greater than a predetermined threshold.
    • 提供一种用于支持眼睛的成像诊断的图像处理装置。 从断层图像检测视网膜区域的层边界。 被检测的层边界与断层图像的深度方向上的图像的上限或下限位置相交的位置被确定为分割位置。 断层图像在确定的分割位置处被分割成在断层图像的深度方向上的扫描线。 随后,对于每个分割区域判断检测是否为错误检测。 对于每个分割区域计算根据检测结果的视网膜区域外的图像的平均浓度值,并且如果平均浓度值等于或大于预定值,则划分区域中的检测被判断为错误检测 阈。
    • 10. 发明授权
    • Information processing apparatus and information processing method
    • 信息处理装置和信息处理方法
    • US08909561B2
    • 2014-12-09
    • US12879781
    • 2010-09-10
    • Daisuke FurukawaKenji Morita
    • Daisuke FurukawaKenji Morita
    • G06F15/18G06K9/62G06K9/00
    • G06K9/00993G06K9/6228
    • An information processing apparatus that selects a plurality of feature amounts acquired by applying a filter to learning data and generates a discriminator based on the selected feature amounts includes a time specification unit configured to specify a calculation time required for acquiring a feature amount of a selection candidate by applying the filter to the selected feature amounts or the learning data, a precision specification unit configured to specify a precision of a discriminator generated based on the feature amount of the selection candidate and the selected feature amounts, a selection unit configured to select the feature amount of the selection candidate based on the calculation time and the precision, and a generation unit configured to generate the discriminator based on the selected feature amounts.
    • 一种信息处理装置,其选择通过对学习数据应用滤波器而获取的多个特征量,并且基于所选择的特征量生成鉴别器,包括:时间指定单元,被配置为指定获取选择候选者的特征量所需的计算时间 通过将滤波器应用于所选择的特征量或学习数据,精度指定单元,被配置为基于选择候选的特征量和所选择的特征量来指定生成的鉴别器的精度;选择单元,被配置为选择特征 基于计算时间和精度的选择候选的量;以及生成单元,被配置为基于所选择的特征量生成鉴别器。