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公开(公告)号：US20230122073A1
公开(公告)日：2023-04-20
申请号：US17908763
申请日：2021-03-05
申请人： VISIOPHARM A/S
发明人： Johan Doré Hansen , Michael Grunkin
摘要： A medical image analysis system includes an image receiving/storing unit to receive/store digital images from a slide scanner; an image analysis unit to perform automatic analysis related to tumor cell detection, biomarker quantification and/or pattern recognition, and return analyzed images and/or analysis results; an image evaluation unit with an operation platform and user interface for review of images/analyzed images; an assembly/unification unit having a first interface to the analysis unit, the assembly/unification unit transfering the images to the analysis unit and receiving analyzed images and/or analysis results; a second interface to the evaluation unit, the assembly/unification unit transfering the images/analyzed images and receiving evaluations; a picture archiving/communication system or vendor neutral archive interface, the assembly/unification unit assembling and exporting the images/analyzed images/evaluations to the archiving/communication system or neutral archive.
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2.发明申请公开(公告)号：US20210150701A1
公开(公告)日：2021-05-20
申请号：US16622453
申请日：2018-06-12
申请人： Visiopharm A/S
摘要： A method and a system for training a deep learning model to obtain histopathological information from images.
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公开(公告)号：US09697582B2
公开(公告)日：2017-07-04
申请号：US14223371
申请日：2014-03-24
申请人： Visiopharm A/S
CPC分类号： G06T3/0081 , G01N33/57415 , G06F19/00 , G06F19/321 , G06K9/0014 , G06T3/0068 , G06T7/0012 , G06T7/33 , G06T2207/10056 , G06T2207/30004 , G06T2207/30024
摘要： Disclosed is a method and a system for obtaining and analyzing image pairs, obtained as sections of specimen. The invention facilitates registration of two corresponding images, one from each section of the specimen. The invention includes performing a registration process of the two images thereby obtaining a mathematical transformation rule and afterwards using said transformation rule for each image field identified in one image allowing that the corresponding image field in the other image may be identified as well. After the corresponding image pairs have been obtained using the method of the present invention, the sections can be assessed, such as by identifying the counting events for at least one type of object on the image fields within at least one corresponding image pair, optionally using automatic means.
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公开(公告)号：US20220260825A1
公开(公告)日：2022-08-18
申请号：US17623090
申请日：2020-06-26
申请人： Visiopharm A/S
摘要： A method of analyzing a plurality of histology slides is provided, wherein possible artefacts are detected at an early stage. This is achieved by including a preliminary imaging and image analysis step in the process flow; the step being executed preferably before any diagnostic assessment e.g. image analysis or manual reading is performed by a pathologist or a lab technician. Accordingly, the histology slides reaching the expert for image analysis are of a higher quality, since the slides are ideally free of artefacts. The method thus saves valuable time for the pathologist, since only artefact-free slides will be subject to a detailed analysis. Furthermore, the method minimizes the risk of misinterpretations leading to potentially false diagnoses. A deep learning model, is also disclosed, which is capable of automatically determining whether histopathological images are suitable for diagnostic and/or research assessment. A training of the deep learning model is also disclosed.
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5.发明授权公开(公告)号：US11276165B2
公开(公告)日：2022-03-15
申请号：US16622453
申请日：2018-06-12
申请人： Visiopharm A/S
摘要： A method and a system for training a deep learning model to obtain histopathological information from images.
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公开(公告)号：US12131464B2
公开(公告)日：2024-10-29
申请号：US17623090
申请日：2020-06-26
申请人： Visiopharm A/S
CPC分类号： G06T7/0012 , G02B21/34 , G02B21/367 , G06V20/695 , G06T2207/10056 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024
摘要： A method of analyzing a plurality of histology slides is provided, wherein possible artefacts are detected at an early stage. This is achieved by including a preliminary imaging and image analysis step in the process flow; the step being executed preferably before any diagnostic assessment e.g. image analysis or manual reading is performed by a pathologist or a lab technician. Accordingly, the histology slides reaching the expert for image analysis are of a higher quality, since the slides are ideally free of artefacts. The method thus saves valuable time for the pathologist, since only artefact-free slides will be subject to a detailed analysis. Furthermore, the method minimizes the risk of misinterpretations leading to potentially false diagnoses. A deep learning model, is also disclosed, which is capable of automatically determining whether histopathological images are suitable for diagnostic and/or research assessment. A training of the deep learning model is also disclosed.
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公开(公告)号：US10209165B2
公开(公告)日：2019-02-19
申请号：US15124297
申请日：2015-03-09
申请人： Visiopharm A/S
发明人： Michael Grunkin , Johan Doré Hansen
摘要： The quality of staining histological specimens has an impact on the histological assessment of the specimen. One of the causes for variability in the accuracy is the variations in the staining of the specimens to be tested in the working laboratories. The present invention provides a method for assessing the staining quality in a working laboratory and providing a quantitative quality measure for the staining quality. Thereby, it is possible for each working laboratory to evaluate their staining quality and to get feedback of how to improve the quality. The invention further relates to a system and a software program for carrying out the method.
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公开(公告)号：US20170212018A1
公开(公告)日：2017-07-27
申请号：US15124297
申请日：2015-03-09
申请人： Visiopharm A/S
发明人： Michael Grunkin , Johan Doré Hansen
CPC分类号： G01N1/30 , G06K9/0014 , G06K9/036 , G06T7/0014 , G06T2207/30024 , G06T2207/30096 , G16H10/40
摘要： The quality of staining histological specimens has an impact on the histological assessment of the specimen. One of the causes for variability in the accuracy is the variations in the staining of the specimens to be tested in the working laboratories. The present invention provides a method for assessing the staining quality in a working laboratory and providing a quantitative quality measure for the staining quality. Thereby, it is possible for each working laboratory to evaluate their staining quality and to get feedback of how to improve the quality. The invention further relates to a system and a software program for carrying out the method.
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