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公开(公告)号：US20170124704A1
公开(公告)日：2017-05-04
申请号：US15317497
申请日：2015-06-10
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Wen Wu , Yao-Jen Chang , David Liu , Benjamin Pollack , Terrence Chen
IPC: G06T7/00 , G05B21/02 , G01N21/952 , G06T7/80 , G01C11/06
CPC classification number: G06T7/0012 , G01C11/06 , G01N21/952 , G01N35/00732 , G01N2035/0418 , G01N2035/0498 , G05B21/00 , G05B21/02 , G06K9/6282 , G06T7/0008 , G06T7/80 , G06T2207/20081 , G06T2207/30024 , G06T2207/30072 , G06T2207/30204
Abstract: Methods and systems for detecting properties of sample tubes in a laboratory environment include a drawer vision system that can be trained and calibrated. Images of a tube tray captured by at least one camera are analyzed to extract image patches that allow a processor to automatically determine if a tube slot is occupied, if the tube has a cap, and if the tube has a tube top cup. The processor can be trained using a random forest technique and a plurality of training image patches. Cameras can be calibrated using a three-dimensional calibration target that can be inserted into the drawer.
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公开(公告)号：US20240310395A1
公开(公告)日：2024-09-19
申请号：US18546959
申请日：2022-02-17
Applicant: SIEMENS HEALTHCARE DIAGNOSTICS INC.
Inventor： Yao-Jen Chang , Rayal Raj Prasad Nalam Venkat , Benjamin S. Pollack , Vivek Singh , Venkatesh NarasimhaMurthy , Ankur Kapoor
CPC classification number: G01N35/00712 , G01N35/1016 , G01N2035/1025
Abstract: Methods of operating a diagnostic laboratory system include providing a module configured to perform a function on an item in the diagnostic laboratory system; providing a plurality of sensors, each of the plurality of sensors configured to monitor the function or the item and generate sensor data in response to the monitoring; checking an operational status of a first sensor of the plurality of sensors; receiving sensor data from at least one of the plurality of sensors; and scaling sensor data from the first sensor in response to the operational status and the sensor data to generate revised sensor data. Systems including a middleware server configured to carry out the methods are provided as are other aspects.
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公开(公告)号：US20240201083A1
公开(公告)日：2024-06-20
申请号：US18554988
申请日：2022-03-25
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Rayal Raj Prasad Nalam Venkat , Yao-Jen Chang , Benjamin S. Pollack , Ankur Kapoor
IPC: G01N21/3577 , G01N21/33 , G01N21/359 , G01N33/487
CPC classification number: G01N21/3577 , G01N21/33 , G01N21/359 , G01N33/487
Abstract: A method of operating a diagnostic instrument includes illuminating an imaging location of the diagnostic instrument with first light having a first spectrum for a first period and capturing a first image of the imaging location illuminated by the first light. The method further includes illuminating the imaging location of the diagnostic instrument with second light having a second spectrum for a second period, the second spectrum being more destructive to a chemical configured to be received in the diagnostic instrument than the first spectrum; and capturing a second image of the imaging location illuminated by the second light. Other methods and diagnostic instruments are disclosed.
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公开(公告)号：US20240169093A1
公开(公告)日：2024-05-23
申请号：US17755463
申请日：2020-10-22
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Venkatesh NarasimhaMurthy , Vivek Singh , Yao-Jen Chang , Benjamin S. Pollack , Ankur Kapoor , Rayal Raj Prasad Nalam Venkat
CPC classification number: G06F21/6254 , G06T5/77 , G06T7/0004 , G06T11/60 , G06T2207/20081 , G06T2207/20084
Abstract: A method of characterizing a specimen and specimen container to be analyzed in an automated diagnostic analysis system. The method can provide a segmentation determination and/or an HILN determination (hemolysis, icterus, lipemia, or normal) of the specimen while protecting patient information. The method includes capturing an image of a specimen container via an image capture device, identifying a label affixed to the specimen container in the captured image via an anonymization network, and editing the captured image via the anonymization network to mask some or all information present in the label so that it is removed from the captured image. Quality check modules and systems configured to carry out the method are also described, as are other aspects.
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公开(公告)号：US20240133909A1
公开(公告)日：2024-04-25
申请号：US18546167
申请日：2022-02-10
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Rayal Raj Prasad Nalam Venkat , Yao-Jen Chang , Benjamin S. Pollack , Ankur Kapoor
CPC classification number: G01N35/00732 , G01N35/04 , G01N35/1011 , G06T7/73 , G06V10/19 , G01N2035/0491
Abstract: A method of aligning a component to a structure in a diagnostic laboratory system. The method includes aligning a position sensor to the structure; sensing a position of the component using the position sensor; and calculating the position of the component relative to the structure based at least in part on the sensing. Other methods, apparatus, and systems are disclosed.
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Patent Agency Ranking
公开(公告)号：US20240120082A1
公开(公告)日：2024-04-11
申请号：US18264685
申请日：2022-02-07
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Vivek Singh , Rayal Raj Prasad Nalam Venkat , Yao-Jen Chang , Venkatesh NarasimhaMurthty , Benjamin S. Pollack , Ankur Kapoor
CPC classification number: G16H40/40 , B01L99/00 , G16H10/40 , B01L2200/143 , B01L2300/0627
Abstract: Methods of predicting a fault in a diagnostic laboratory system include providing one or more sensors; generating data using the one or more sensors; inputting the data into an artificial intelligence algorithm, the artificial intelligence algorithm configured to predict at least one fault in the diagnostic laboratory system in response to the data; and predicting at least one fault in the diagnostic laboratory system using the artificial intelligence algorithm. Other methods, systems, and apparatus are also disclosed.
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37.发明授权公开(公告)号：US11763461B2
公开(公告)日：2023-09-19
申请号：US17251756
申请日：2019-06-10
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Kai Ma , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
CPC classification number: G06T7/12 , G01N33/49 , G01N35/04 , G06F18/2431 , G06T7/70 , G16H10/40 , G01N2035/0406 , G01N2035/0493 , G06T2207/20081 , G06T2207/20084
Abstract: A method of characterizing a serum or plasma portion of a specimen in a specimen container includes capturing a plurality of images of the specimen container from multiple viewpoints, stacking the multiple viewpoint images along a channel dimension into a single stacked input, and processing the stacked input with a single deep convolutional neural network (SDNN). The SDNN includes a segmentation convolutional neural network that receives the stacked input and outputs multiple label maps simultaneously. The SDNN also includes a classification convolutional neural network that processes the multiple label maps and outputs an HILN determination (Hemolysis, Icterus, and/or Lipemia, or Normal) of the serum or plasma portion of the specimen. Quality check modules and testing apparatus configured to carry out the method are also described, as are other aspects.
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38.发明授权公开(公告)号：US11600058B2
公开(公告)日：2023-03-07
申请号：US16630274
申请日：2018-06-25
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Yao-Jen Chang , Stefan Kluckner , Benjamin S. Pollack , Terrence Chen
Abstract: Methods for image-based detection of the tops of sample tubes used in an automated diagnostic analysis system may be based on a convolutional neural network to pre-process images of the sample tube tops to intensify the tube top circle edges while suppressing the edge response from other objects that may appear in the image. Edge maps generated by the methods may be used for various image-based sample tube analyses, categorizations, and/or characterizations of the sample tubes to control a robot in relationship to the sample tubes. Image processing and control apparatus configured to carry out the methods are also described, as are other aspects.
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39.发明授权公开(公告)号：US11386291B2
公开(公告)日：2022-07-12
申请号：US16961222
申请日：2019-01-08
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Stefan Kluckner , Yao-Jen Chang , Kai Ma , Vivek Singh , Terrence Chen , Benjamin S. Pollack
IPC: G06K9/62 , G06K9/20 , G06K9/46 , G06N3/04 , G06N3/08 , G06T7/00 , G06V10/22 , G06V10/143 , G06V10/50 , G06V10/58
Abstract: A method of training a neural network (Convolutional Neural Network-CNN) including reduced graphical annotation input is provided. The training method can be used to train a Testing CNN that can be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a test specimen. The training method includes capturing training images of multiple specimen containers including training specimens, generating region proposals of the serum or plasma portions of the training specimens; and selecting the best matches for the location, size and shape of the region proposals for the multiple training specimens. The obtained features (network and weights) from the training CNN can be used in a testing CNN. Quality check modules and testing apparatus adapted to carry out the training method, and characterization methods using abounding box regressor are described, as are other aspects.
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公开(公告)号：US11313869B2
公开(公告)日：2022-04-26
申请号：US16604132
申请日：2017-04-13
Applicant: Siemens Healthcare Diagnostics Inc. , Jiang Tian , Stefan Kluckner , Shanhui Sun , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
Inventor： Jiang Tian , Stefan Kluckner , Shanhui Sun , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
Abstract: A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.
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