公开(公告)号：US08199998B2

公开(公告)日：2012-06-12

申请号：US12265292

申请日：2008-11-05

申请人： Kenji Okajima ,  Yoshiko Yamashita ,  Akira Saito

发明人： Kenji Okajima ,  Yoshiko Yamashita ,  Akira Saito

IPC分类号： G06K9/00

CPC分类号： G06K9/00127

摘要： The detection accuracy of poorly differentiated cancers in adenocarcinoma is improved by restricting false detection. Cell nucleus detection means 1 receives a digitized pathological image as an input and extracts the region of a cell nucleus therefrom. Gland duct detection means 2 detects a gland duct structure in the image. Poorly differentiated cancer detection means 4 detects poorly differentiated cancers only in the region other than the gland duct region. False detection rejection means 7 compares the detection density of poorly differentiated cancer in the vicinity of a detection point with a threshold that is predetermined depending on gland duct density in the vicinity of the detection point, at each detection point detected by poorly differentiated cancer detection means 4 and rejects the detection point as a false detection if the detection density of a poorly differentiated cancer is smaller than the threshold.

摘要翻译： 通过限制假检测可以提高腺癌分化不良的癌症的检测准确性。 细胞核检测装置1接收数字化的病理图像作为输入，并从中提取细胞核的区域。 腺体管检测装置2检测图像中的腺体管结构。 分化不良的癌症检测手段4仅在腺体管区域以外的区域检测分化不良的癌症。 假检测抑制装置7将检测点附近的分化不良的癌症的检测密度与根据检测点附近的腺体密度预先确定的阈值，在低分辨率癌症检测手段检测的各检测点进行比较 4，如果分化不良的癌症的检测密度小于阈值，则将检测点拒绝为假检测。

公开(公告)号：US20090116723A1

公开(公告)日：2009-05-07

申请号：US12265292

申请日：2008-11-05

申请人： Kenji Okajima ,  Yoshiko Yamashita ,  Akira Saito

发明人： Kenji Okajima ,  Yoshiko Yamashita ,  Akira Saito

IPC分类号： G06K9/00

CPC分类号： G06K9/00127

摘要： The detection accuracy of poorly differentiated cancers in adenocarcinoma is improved by restricting false detection. Cell nucleus detection means 1 receives a digitized pathological image as an input and extracts the region of a cell nucleus therefrom. Gland duct detection means 2 detects a gland duct structure in the image. Poorly differentiated cancer detection means 4 detects poorly differentiated cancers only in the region other than the gland duct region. False detection rejection means 7 compares the detection density of poorly differentiated cancer in the vicinity of a detection point with a threshold that is predetermined depending on gland duct density in the vicinity of the detection point, at each detection point detected by poorly differentiated cancer detection means 4 and rejects the detection point as a false detection if the detection density of a poorly differentiated cancer is smaller than the threshold.

摘要翻译： 通过限制假检测可以提高腺癌分化不良的癌症的检测准确性。 细胞核检测装置1接收数字化的病理图像作为输入，并从中提取细胞核的区域。 腺体管检测装置2检测图像中的腺体管结构。 分化不良的癌症检测手段4仅在腺体管区域以外的区域检测分化不良的癌症。 假检测抑制机构7将检测点附近的分化不良的癌症的检测密度与根据检测点附近的腺体密度预先确定的阈值，在低分辨率癌症检测手段检测的各检测点进行比较 4，如果分化不良的癌症的检测密度小于阈值，则将检测点拒绝为假检测。

公开(公告)号：US08111897B2

公开(公告)日：2012-02-07

申请号：US12265394

申请日：2008-11-05

申请人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Saito

发明人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Saito

IPC分类号： G06K9/00

CPC分类号： G06K9/00127 ,  G06T7/0012 ,  G06T2207/30024

摘要： An evaluation system includes a capture unit for capturing an image of a living tissue in which HER2 protein and cell nucleuses are dyed, a discrimination unit for identifying a cell membrane from the image of the living tissue based on dyed cell nucleuses within the image of the living tissue captured by the capture unit to discriminate a dyed state of the cell membrane, and an evaluation unit for evaluating development of the HER2 protein based on a discrimination result by the discrimination unit.

摘要翻译： 评价系统包括：捕获单元，用于捕获其中染色了HER2蛋白和细胞核的活组织的图像;鉴别单元，用于基于所述图像内的染色细胞核从所述活组织的图像识别细胞膜; 由捕获单元捕获的活体组织以鉴别细胞膜的染色状态，以及评估单元，用于基于鉴别单元的鉴别结果来评估HER2蛋白质的发育。

公开(公告)号：US20090116724A1

公开(公告)日：2009-05-07

申请号：US12265394

申请日：2008-11-05

申请人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Saito

发明人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Saito

IPC分类号： G06K9/00

CPC分类号： G06K9/00127 ,  G06T7/0012 ,  G06T2207/30024

摘要： An evaluation system includes a capture unit for capturing an image of a living tissue in which HER2 protein and cell nucleuses are dyed, a discrimination unit for identifying a cell membrane from the image of the living tissue based on dyed cell nucleuses within the image of the living tissue captured by the capture unit to discriminate a dyed state of the cell membrane, and an evaluation unit for evaluating development of the HER2 protein based on a discrimination result by the discrimination unit.

摘要翻译： 评价系统包括：捕获单元，用于捕获其中染色了HER2蛋白和细胞核的活组织的图像;鉴别单元，用于基于所述图像内的染色细胞核从所述活组织的图像识别细胞膜; 由捕获单元捕获的活体组织以鉴别细胞膜的染色状态，以及评估单元，用于基于鉴别单元的鉴别结果来评估HER2蛋白质的发育。

公开(公告)号：US20100054560A1

公开(公告)日：2010-03-04

申请号：US12529402

申请日：2008-02-20

申请人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Sato

发明人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Sato

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  A61B5/055 ,  G01N1/30 ,  G01N33/57415

摘要： A breast cancer pathological image diagnosis support system for supporting a diagnosis of breast cancer based on a pathological image is provided. The breast cancer pathological image diagnosis support system includes an image obtaining unit which obtains an HE-stained image and an IHC image as pathological images to be diagnosed; an information obtaining unit which obtains information of a tumor area in the HE-stained image; a matching unit which calculates a matching position of the HE-stained image and the IHC image obtained by the image obtaining unit; a specifying unit which specifies a tumor area in the IHC image based on the information of the tumor area in the HE-stained image obtained by the information obtaining unit and information of the matching position calculated by the matching unit; and a calculating unit which calculates a staining positive cell content rate in the tumor area based on information of the tumor area in the IHC image specified by the specifying unit.

摘要翻译： 提供了一种基于病理图像支持乳腺癌诊断的乳腺癌病理图像诊断支持系统。 乳腺癌病理图像诊断支持系统包括图像获取单元，其获得HE染色图像和IHC图像作为待诊断的病理图像; 信息获取单元，其获得HE染色图像中的肿瘤区域的信息; 计算HE染色图像的匹配位置和由图像获取单元获得的IHC图像的匹配单元; 指定单元，其基于由所述信息获取单元获得的HE染色图像中的肿瘤区域的信息和由匹配单元计算的匹配位置的信息来指定IHC图像中的肿瘤区域; 以及计算单元，其基于由指定单元指定的IHC图像中的肿瘤区域的信息计算肿瘤区域中的染色阳性细胞含量率。

公开(公告)号：US09355445B2

公开(公告)日：2016-05-31

申请号：US12529402

申请日：2008-02-20

申请人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Sato

发明人： Yoshiko Yamashita ,  Kenji Okajima ,  Akira Sato

IPC分类号： G06K9/00 ,  G06T7/00 ,  A61B5/055 ,  G01N1/30 ,  G01N33/574

CPC分类号： G06T7/0012 ,  A61B5/055 ,  G01N1/30 ,  G01N33/57415

摘要： A breast cancer pathological image diagnosis support system for supporting a diagnosis of breast cancer based on a pathological image is provided. The breast cancer pathological image diagnosis support system includes an image obtaining unit which obtains an HE-stained image and an IHC image as pathological images to be diagnosed; an information obtaining unit which obtains information of a tumor area in the HE-stained image; a matching unit which calculates a matching position of the HE-stained image and the IHC image obtained by the image obtaining unit; a specifying unit which specifies a tumor area in the IHC image based on the information of the tumor area in the HE-stained image obtained by the information obtaining unit and information of the matching position calculated by the matching unit; and a calculating unit which calculates a staining positive cell content rate in the tumor area based on information of the tumor area in the IHC image specified by the specifying unit.

摘要翻译： 提供了一种基于病理图像支持乳腺癌诊断的乳腺癌病理图像诊断支持系统。 乳腺癌病理图像诊断支持系统包括图像获取单元，其获得HE染色图像和IHC图像作为待诊断的病理图像; 信息获取单元，其获得HE染色图像中的肿瘤区域的信息; 计算HE染色图像的匹配位置和由图像获取单元获得的IHC图像的匹配单元; 指定单元，其基于由所述信息获取单元获得的HE染色图像中的肿瘤区域的信息和由匹配单元计算的匹配位置的信息来指定IHC图像中的肿瘤区域; 以及计算单元，其基于由指定单元指定的IHC图像中的肿瘤区域的信息计算肿瘤区域中的染色阳性细胞含量率。

公开(公告)号：US20100031008A1

公开(公告)日：2010-02-04

申请号：US12518687

申请日：2007-12-04

申请人： Masato Edahiro ,  Yoshiko Yamashita

发明人： Masato Edahiro ,  Yoshiko Yamashita

IPC分类号： G06F9/06

CPC分类号： G06F7/22 ,  G06F7/36

摘要： A parallel sorting apparatus is provided whose sorting processing is speeded up. A reference value calculation section calculates a plurality of reference values serving as boundaries of intervals used for allocating input data depending on the magnitude of a value. An input data aggregation section partitions the input data into a plurality of input data regions, and calculates, by parallel processing, mapping information used for allocating data in each of the partitioned input data regions to the plurality of intervals that have boundaries on the reference values calculated by the reference value calculation section. A data allocation section allocates, by parallel processing, data in each of the input data regions to the plurality of intervals in accordance with the mapping information calculated by the input data aggregation section. An interval sorting section individually sorts, by parallel processing, data in the plurality of intervals allocated by the data allocation section.

摘要翻译： 提供了一种并行分拣装置，其分拣处理被加速。 参考值计算部分计算用作用于根据值的大小分配输入数据的间隔的边界的多个参考值。 输入数据聚合部分将输入数据分割成多个输入数据区域，并且通过并行处理计算用于将每个分割输入数据区域中的数据分配给具有参考值边界的多个间隔的映射信息 由参考值计算部分计算。 数据分配部根据由输入数据聚合部分计算出的映射信息，通过并行处理将每个输入数据区域中的数据分配到多个间隔。 间隔分类部分通过并行处理分别对由数据分配部分分配的多个间隔中的数据进行分类。

公开(公告)号：US08620932B2

公开(公告)日：2013-12-31

申请号：US12518687

申请日：2007-12-04

申请人： Masato Edahiro ,  Yoshiko Yamashita

发明人： Masato Edahiro ,  Yoshiko Yamashita

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F7/22 ,  G06F7/36

摘要： A parallel sorting apparatus is provided whose sorting processing is speeded up. A reference value calculation section calculates a plurality of reference values serving as boundaries of intervals used for allocating input data depending on the magnitude of a value. An input data aggregation section partitions the input data into a plurality of input data regions, and calculates, by parallel processing, mapping information used for allocating data in each of the partitioned input data regions to the plurality of intervals that have boundaries on the reference values calculated by the reference value calculation section. A data allocation section allocates, by parallel processing, data in each of the input data regions to the plurality of intervals in accordance with the mapping information calculated by the input data aggregation section. An interval sorting section individually sorts, by parallel processing, data in the plurality of intervals allocated by the data allocation section.

摘要翻译： 提供了一种并行分拣装置，其分拣处理被加速。 参考值计算部分计算用作用于根据值的大小分配输入数据的间隔的边界的多个参考值。 输入数据聚合部分将输入数据分割成多个输入数据区域，并且通过并行处理计算用于将每个分割输入数据区域中的数据分配给具有参考值边界的多个间隔的映射信息 由参考值计算部分计算。 数据分配部根据由输入数据聚合部分计算出的映射信息，通过并行处理将每个输入数据区域中的数据分配到多个间隔。 间隔分类部分通过并行处理分别对由数据分配部分分配的多个间隔中的数据进行分类。

公开(公告)号：US07483864B2

公开(公告)日：2009-01-27

申请号：US10579336

申请日：2004-10-08

申请人： Tsutomu Osoda ,  Yoshiko Yamashita

发明人： Tsutomu Osoda ,  Yoshiko Yamashita

IPC分类号： G06F15/18

CPC分类号： G06N3/08

摘要： An active learning system samples known data, and learns the known data independently in a plurality of learning machines, and selects data to be next learned for unknown data. The active learning system comprises a sampling weighting device for weighting the known data when they are sampled, a prediction weighting device for weighting the learning results of the learning machines when they are integrated, and a data weighting device for weighting the learning results when the data to be next learned is selected. When an extreme deviation is present in the count of data, each of the weighting devices more heavily weights a larger count of data.

摘要翻译： 主动学习系统采集已知数据，并在多个学习机器中独立学习已知数据，并选择下一个未知数据学习的数据。 主动学习系统包括用于对已知数据进行采样时对其进行加权的采样加权装置，用于对学习机的集成时的学习结果进行加权的预测加权装置;以及数据加权装置，用于当数据加密时对学习结果进行加权 被选中。 当在数据计数中存在极端偏差时，每个加权装置对重量较大的数据量进行更大的加权。

公开(公告)号：US20070094158A1

公开(公告)日：2007-04-26

申请号：US10579336

申请日：2004-10-08

申请人： Tsutomu Osoda ,  Yoshiko Yamashita

发明人： Tsutomu Osoda ,  Yoshiko Yamashita

IPC分类号： G06F15/18

CPC分类号： G06N3/08

摘要： An active learning system samples known data, and learns the known data independently in a plurality of learning machines, and selects data to be next learned for unknown data. The active learning system comprises a sampling weighting device for weighting the known data when they are sampled, a prediction weighting device for weighting the learning results of the learning machines when they are integrated, and a data weighting device for weighting the learning results when the data to be next learned is selected. When an extreme deviation is present in the count of data, each of the weighting devices more heavily weights a larger count of data.

摘要翻译： 主动学习系统采集已知数据，并在多个学习机器中独立学习已知数据，并选择下一个未知数据学习的数据。 主动学习系统包括用于对已知数据进行采样时对其进行加权的采样加权装置，用于对学习机的集成时的学习结果进行加权的预测加权装置;以及数据加权装置，用于当数据加密时对学习结果进行加权 被选中。 当在数据计数中存在极端偏差时，每个加权装置对重量较大的数据量进行更大的加权。