公开(公告)号：US20140227682A1

公开(公告)日：2014-08-14

申请号：US14343427

申请日：2012-09-11

申请人： Subhendu Seth ,  Sarif Kumar Naik ,  Shankar Mosur Venkatesan ,  Sunil Kumar ,  Keswarpu Payal ,  Sanjay Jayavanth

发明人： Subhendu Seth ,  Sarif Kumar Naik ,  Shankar Mosur Venkatesan ,  Sunil Kumar ,  Keswarpu Payal ,  Sanjay Jayavanth

IPC分类号： C12Q1/70 ,  G06T7/00

CPC分类号： C12Q1/70 ,  G06K9/0014 ,  G06K9/00147 ,  G06T7/0012 ,  G06T7/0014 ,  G06T2207/30024

摘要： The present invention is related to a method or system for the detection of abnormalities in a biological sample comprising cells. Said method or system comprises at least the following steps, or is capable to carry out, and/or comprises means capable to carry out, at least the following steps, respectively: a) acquiring an image of said sample by digital image acquisition, b) optionally, carrying out digital image processing, c) selecting a field of view, d) determining, by digital image processing, whether or not, in said field of view, cell aggregates exist, and e1) selecting a new field of view and carrying on with step c) if, in step d), it turns out that, in said field of view, the determination of cell aggregates is negative, or e2) carrying out further process steps if in step d), it turns out that, in said field of view, the determination of cell aggregates is affirmative.

摘要翻译： 本发明涉及用于检测包含细胞的生物样品中的异常的方法或系统。 所述方法或系统至少包括以下步骤，或者能够执行和/或包括能够至少执行以下步骤的装置：a）通过数字图像获取获取所述样本的图像，b ）可选地进行数字图像处理，c）选择视场，d）通过数字图像处理确定在所述视场中是否存在小区聚合，以及e1）选择新的视场和 进行步骤c）如果在步骤d）中证明，在所述视野中，细胞聚集的确定是否定的，或者e2）如果在步骤d）中进行进一步的处理步骤，则证明 在所述视野中，细胞聚集体的确定是肯定的。

公开(公告)号：US09567651B2

公开(公告)日：2017-02-14

申请号：US14343427

申请日：2012-09-11

申请人： Subhendu Seth ,  Sarif Kumar Naik ,  Shankar Mosur Venkatesan ,  Sunil Kumar ,  Keswarpu Payal ,  Sanjay Jayavanth

发明人： Subhendu Seth ,  Sarif Kumar Naik ,  Shankar Mosur Venkatesan ,  Sunil Kumar ,  Keswarpu Payal ,  Sanjay Jayavanth

IPC分类号： C12Q1/70 ,  G06T7/00 ,  G06K9/00

CPC分类号： C12Q1/70 ,  G06K9/0014 ,  G06K9/00147 ,  G06T7/0012 ,  G06T7/0014 ,  G06T2207/30024

摘要： A method or system detects abnormalities in a biological sample cells. The method or system performs at least the following steps, or is capable to carry out at least the following steps, respectively: a) acquiring an image of the sample by digital image acquisition, b) optionally, carrying out digital image processing, c) selecting a field of view, d) determining, by digital image processing, whether or not, in the field of view, cell aggregates exist, and e1) selecting a new field of view and carrying on with step c) if, in step d), it turns out that, in the field of view, the determination of cell aggregates is negative, or e2) carrying out further process steps if in step d), it turns out that, in the field of view, the determination of cell aggregates is affirmative.

摘要翻译： 方法或系统检测生物样品细胞中的异常。 该方法或系统至少执行以下步骤，或者能够分别至少执行以下步骤：a）通过数字图像获取获取样本的图像，b）可选地，执行数字图像处理，c） 选择视场，d）通过数字图像处理确定在视野中是否存在小区聚合，以及e1）选择新的视场并进行步骤c）如果在步骤d中 ），事实证明，在视野中，细胞聚集的确定是否定的，或者e2）如果在步骤d）中进行进一步的处理步骤，则证实在视野中，细胞的测定 聚合是肯定的。

公开(公告)号：US09305204B2

公开(公告)日：2016-04-05

申请号：US13991692

申请日：2011-12-05

申请人： Sudipta Mukhopadhyay ,  Subhendu Seth

发明人： Sudipta Mukhopadhyay ,  Subhendu Seth

IPC分类号： G06K9/00 ,  G06T7/00

CPC分类号： G06K9/00127 ,  G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

摘要： A method and system to detect the microcalcifications (MC) in different type of images viz. X-ray images/mammograms/computer tomography with varied densities using nonlinear energy operator (NEO) is disclosed to favor precise detection of early breast cancer. Such Microcalcifications are associated with both high intensity and high frequency content. The same NEO output is useful to detect and remove the irrelevant curvilinear structures (CLS) thereby helps in reducing the false alarms in micro calcification detection technique. This is effective on different dataset (scanned film, mammograms with large spatial resolution such as CR and DR) of varied breast composition (viz. dense, fatty glandular, fatty), demonstrated quantitatively by Free-response receiver operating characteristic (FROC). Importantly, the method and apparatus of the invention can be used in conjunction with machine learning techniques viz. SVM to favor detection of incipient or small microcalcifications, thus benefiting radiologists in confirming detection of micro-calcifications in X-rays images/mammograms and reducing death rates.

摘要翻译： 一种检测不同类型图像中微钙化（MC）的方法和系统， 公开了使用非线性能量运算器（NEO）的具有不同密度的X射线图像/乳房X线照相/计算机断层扫描，以有利于早期乳腺癌的精确检测。 这种微钙化与高强度和高频含量都有关。 相同的NEO输出可用于检测和去除不相关的曲线结构（CLS），从而有助于减少微钙化检测技术中的假警报。 这可以通过自由反应受体操作特征（FROC）定量表征，对不同的乳房组成（即密度，脂肪腺，脂肪）的不同数据集（扫描膜，具有大空间分辨率的乳房X射线照片，如CR和DR）有效。 重要的是，本发明的方法和装置可以与机器学习技术结合使用。 SVM有利于检测初期或小型微钙化，从而有助于放射科医生确认X射线图像/乳房X光检查中微钙化的检测并降低死亡率。

公开(公告)号：US20130251207A1

公开(公告)日：2013-09-26

申请号：US13991692

申请日：2011-12-05

申请人： Sudipta Mukhopadhyay ,  Subhendu Seth

发明人： Sudipta Mukhopadhyay ,  Subhendu Seth

IPC分类号： G06K9/00

CPC分类号： G06K9/00127 ,  G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

摘要： A method and system to detect the microcalcifications (MC) in different type of images viz. X-ray images/mammograms/computer tomography with varied densities using nonlinear energy operator (NEO) is disclosed to favor precise detection of early breast cancer. Such Microcalcifications are associated with both high intensity and high frequency content. The same NEO output is useful to detect and remove the irrelevant curvilinear structures (CLS) thereby helps in reducing the false alarms in micro calcification detection technique. This is effective on different dataset (scanned film, mammograms with large spatial resolution such as CR and DR) of varied breast composition (viz. dense, fatty glandular, fatty), demonstrated quantitatively by Free-response receiver operating characteristic (FROC). Importantly, the method and apparatus of the invention can be used in conjunction with machine learning techniques viz. SVM to favor detection of incipient or small microcalcifications, thus benefiting radiologists in confirming detection of micro-calcifications in X-rays images/mammograms and reducing death rates.

摘要翻译： 一种检测不同类型图像中微钙化（MC）的方法和系统， 公开了使用非线性能量运算器（NEO）的具有不同密度的X射线图像/乳房X线照相/计算机断层扫描，以有利于早期乳腺癌的精确检测。 这种微钙化与高强度和高频含量都有关。 相同的NEO输出可用于检测和去除不相关的曲线结构（CLS），从而有助于减少微钙化检测技术中的假警报。 这可以通过自由反应受体操作特征（FROC）定量表征，对不同的乳房组成（即密度，脂肪腺，脂肪）的不同数据集（扫描膜，具有大空间分辨率的乳房X射线照片，如CR和DR）有效。 重要的是，本发明的方法和装置可以与机器学习技术结合使用。 SVM有利于检测初期或小型微钙化，从而有助于放射科医生确认X射线图像/乳房X光检查中微钙化的检测并降低死亡率。

公开(公告)号：US20060004005A1

公开(公告)日：2006-01-05

申请号：US10949096

申请日：2004-09-24

申请人： Viswajanani Sattigeri ,  Mohammad Salman ,  Ramamurthi Narayanan ,  Subhendu Seth ,  Simi Sarin ,  Abhijit Ray ,  Sunanda Dastidar

发明人： Viswajanani Sattigeri ,  Mohammad Salman ,  Ramamurthi Narayanan ,  Subhendu Seth ,  Simi Sarin ,  Abhijit Ray ,  Sunanda Dastidar

IPC分类号： A61K31/53

CPC分类号： C07D251/52 ,  C07D251/16 ,  C07D251/18 ,  C07D251/50 ,  C07D251/54 ,  C07D251/70 ,  C07D405/12 ,  C07D409/12

摘要： The present invention relates to triazine derivatives as cell adhesion inhibitors. The compounds of this invention can be useful inter alia, for inhibition and prevention of cell adhesion and cell adhesion-mediated pathologies, including inflammatory and autoimmune diseases such as bronchial asthma, rheumatoid arthritis, type I diabetes, multiple sclerosis, allograft rejection, psoriasis. The compounds can be used to formulate pharmacological compositions, and the methods of treating bronchial asthma, rheumatoid arthritis, multiple sclerosis, type I diabetes, psoriasis, allograft rejection, and other inflammatory and/or autoimmune disorders, using the compounds are also provided herein.

摘要翻译： 本发明涉及作为细胞粘附抑制剂的三嗪衍生物。 本发明的化合物尤其可用于抑制和预防细胞粘附和细胞粘附介导的病理学，包括炎症和自身免疫性疾病如支气管哮喘，类风湿性关节炎，I型糖尿病，多发性硬化，同种异体移植排斥，牛皮癣。 该化合物可用于配制药物组合物，本文还提供了使用该化合物治疗支气管哮喘，类风湿性关节炎，多发性硬化，I型糖尿病，牛皮癣，同种异体移植排斥和其它炎性和/或自身免疫性疾病的方法。