公开(公告)号：US20050171409A1

公开(公告)日：2005-08-04

申请号：US10767342

申请日：2004-01-30

申请人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

发明人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

IPC分类号： G06T7/00 ,  G21K1/12 ,  H05G1/60

CPC分类号： G06T7/0012 ,  G06T2207/30061

摘要： A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.

摘要翻译： 一种用于检测受试者的医学图像中的至少一个结节的方法，系统和计算机程序产品，包括在医学图像中识别对应于感兴趣器官的至少一部分的解剖区域; 过滤医学图像以获得差异图像; 在所述差分图像中检测所述解剖区域内的第一多个结节候选物; 基于所述医学图像和所述差分图像中的至少一个的像素值来计算所述第一多个结节候选的各个结节特征值; 基于各个结节特征值从所述第一多个结节候选中去除假阳性结节候选，以获得第二多个结节候选; 以及基于像素值和相应结节特征值中的至少一个，将所述第二多个结节候选中的每一个分类为结节或非结节来确定所述至少一个结节。 使用线性判别分析和/或多MTANN识别真阳性结节。

公开(公告)号：US06458878B1

公开(公告)日：2002-10-01

申请号：US09472229

申请日：1999-12-27

申请人： Makoto Tsuboi ,  Eiichi Yoshikawa ,  Hidetaka Arimura ,  Fumio Hamazu ,  Naoya Nakamura ,  Yasuto Hikiji ,  Masaaki Oya ,  Satoshi Hiyoshi ,  Yukio Kozono

发明人： Makoto Tsuboi ,  Eiichi Yoshikawa ,  Hidetaka Arimura ,  Fumio Hamazu ,  Naoya Nakamura ,  Yasuto Hikiji ,  Masaaki Oya ,  Satoshi Hiyoshi ,  Yukio Kozono

IPC分类号： C08K318

CPC分类号： C09D5/1668 ,  C08F230/08

摘要： Disclosed is a silyl (meth)acrylate copolymer which comprises 20 to 80% by weight of (a) silyl (meth)acrylate constituent units (I), 0.01 to 40% by weight of (b) acrylic unsaturated monomer constituent units (II) and 5 to 79.9% by weight of Ĉ unsaturated monomer constituent units other than the constituent units (a) and (b). Also disclosed is a process for preparing the silyl (meth)acrylate copolymer, an antifouling paint composition comprising the copolymer, a coating film formed from the paint composition, a hull with the coating film and an antifouling method using the paint composition.

摘要翻译： 公开了（甲基）丙烯酸甲硅烷酯结构单元（I）为20〜80重量％（甲基）丙烯酸甲酯共​​聚物，（b）丙烯酸不饱和单体构成单元（II）为0.01〜40重量％ 和5〜79.9重量％的除构成单元（a）和（b）以外的不饱和单体构成单元。 还公开了（甲基）丙烯酸甲硅烷酯共聚物的制备方法，包含共聚物的防污涂料组合物，由涂料组合物形成的涂膜，涂膜的船体和使用该涂料组合物的防污涂法。

公开(公告)号：US07305111B2

公开(公告)日：2007-12-04

申请号：US10767342

申请日：2004-01-30

申请人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

发明人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

IPC分类号： G21K1/12 ,  G06K9/00

CPC分类号： G06T7/0012 ,  G06T2207/30061

摘要： A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.

摘要翻译： 一种用于检测受试者的医学图像中的至少一个结节的方法，系统和计算机程序产品，包括在医学图像中识别对应于感兴趣器官的至少一部分的解剖区域; 过滤医学图像以获得差异图像; 在所述差分图像中检测所述解剖区域内的第一多个结节候选物; 基于所述医学图像和所述差分图像中的至少一个的像素值来计算所述第一多个结节候选的各个结节特征值; 基于各个结节特征值从所述第一多个结节候选中去除假阳性结节候选，以获得第二多个结节候选; 以及基于像素值和相应结节特征值中的至少一个，将所述第二多个结节候选中的每一个分类为结节或非结节来确定所述至少一个结节。 使用线性判别分析和/或多MTANN识别真阳性结节。

公开(公告)号：US06836558B2

公开(公告)日：2004-12-28

申请号：US09816217

申请日：2001-03-26

申请人： Kunio Doi ,  Hidetaka Arimura ,  Shigehiko Katsuragawa ,  Junji Morishita

发明人： Kunio Doi ,  Hidetaka Arimura ,  Shigehiko Katsuragawa ,  Junji Morishita

IPC分类号： G06K900

CPC分类号： G06K9/6203 ,  G06T7/0002 ,  G06T7/001 ,  G06T7/32 ,  G06T2207/30061

摘要： A method, system and computer readable medium for a computer-automated method for identifying given image data, including obtaining template image data corresponding to said given image data; calculating correlation values between the given image data and said template image data; and identifying said image data based on the correlation values calculated in the calculating step.

摘要翻译： 一种用于识别给定图像数据的计算机自动化方法的方法，系统和计算机可读介质，包括获得对应于所述给定图像数据的模板图像数据; 计算给定图像数据和所述模板图像数据之间的相关值; 以及基于在所述计算步骤中计算的相关值来识别所述图像数据。

公开(公告)号：US20050259854A1

公开(公告)日：2005-11-24

申请号：US10849807

申请日：2004-05-21

申请人： Hidetaka Arimura ,  Qiang Li ,  Kunio Doi

发明人： Hidetaka Arimura ,  Qiang Li ,  Kunio Doi

IPC分类号： G06K9/00 ,  G06K9/40 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00

CPC分类号： G06T7/0012 ,  G06T5/003 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10072 ,  G06T2207/20044 ,  G06T2207/20164 ,  G06T2207/30101

摘要： A method, system, and computer program product for determining existence of an abnormality in a medical image, including (1) obtaining volume image data corresponding to the medical image; (2) filtering the volume image data using an enhancement filter to produce a filtered image in which a predetermined pattern is enhanced; (3) detecting, in the filtered image, a first plurality of abnormality candidates using multiple gray-level thresholding; (4) grouping, based on size and local structures, the first plurality of abnormality candidates into a plurality of abnormality classes; (5) removing false positive candidates from each abnormality class based on class-specific image features to produce a second plurality of abnormality candidates; and (6) applying the at least one abnormality to a classifier and classifying each candidate in the second plurality of abnormality candidates as a false positive candidate or an abnormality.

摘要翻译： 一种用于确定医学图像中的异常的存在的方法，系统和计算机程序产品，包括（1）获得与医学图像相对应的体积图像数据; （2）使用增强滤波器对体积图像数据进行滤波，以产生增强了预定图案的滤波图像; （3）在滤波图像中，使用多灰度阈值处理检测第一多个异常候选; （4）基于大小和局部结构将所述第一多个异常候选分组成多个异常类别; （5）基于类特定图像特征从每个异常等级去除假阳性候选以产生第二多个异常候选; 以及（6）将所述至少一个异常应用于分类器并将所述第二多个异常候选中的每个候选者分类为假阳性候选或异常。

公开(公告)号：US06828030B2

公开(公告)日：2004-12-07

申请号：US09983181

申请日：2001-10-23

申请人： Hidetaka Arimura ,  Satoshi Hiyoshi ,  Naoya Nakamura ,  Makoto Tsuboi

发明人： Hidetaka Arimura ,  Satoshi Hiyoshi ,  Naoya Nakamura ,  Makoto Tsuboi

IPC分类号： B32B2520

CPC分类号： C08L71/02 ,  C08F293/005 ,  C08G65/336 ,  C08G81/025 ,  C08L53/00 ,  C09D5/1668 ,  C09D153/00 ,  Y10S525/926 ,  Y10T428/31663 ,  C08L2666/02 ,  C08L2666/04

摘要： A (poly)oxyalkylene block silyl ester copolymer comprising silyl ester copolymer block units (A) and block units (B), the block units (a) comprising (a) component units derived from a polymerizable unsaturated carboxylic acid silyl ester, and (b) polymerizable unsaturated monomer units other than the component units (a), the block units (B) derived from particular mercapto compounds, and an antifouling paint comprising the (poly)oxyalkylene block silyl ester copolymer. The copolymer enables the formation of an antifouling coating film which exhibits less cracking tendency, excellent adherence, less peeling tendency and controlled hydrolysis rate resulting in excellent antifouling performance and properties.

摘要翻译： 包含甲硅烷基酯共聚物嵌段单元（A）和嵌段单元（B）的（聚）氧化烯嵌段甲硅烷基酯共聚物，嵌段单元（a）包含（a）源自聚合性不饱和羧酸甲硅烷基酯的组分单元和（b ）聚合性不饱和单体单元，来自特定巯基化合物的嵌段单元（B）和包含（聚）氧化烯嵌段甲硅烷基酯共聚物的防污涂料。 该共聚物能够形成防污涂膜，其显示较少的开裂倾向，优异的粘附性，较少的剥离倾向和受控的水解速率，从而获得优异的防污性能和性能。