Abstract: A system and method may retrieve transaction data for a plurality of electronic payment system transactions. The transaction data may describe a plurality of electronic payment transactions between a payment network system and a plurality of merchants. The transaction data may include a transaction location and a merchant store number. The system and method may parse the transaction data to identify the transaction location and the merchant store number and analyze the retrieved and parsed transaction data to identify one or more centroids for at least a portion of the retrieved and parsed transaction data. The one or more centroids may correspond to a merchant location for each transaction of the retrieved and parsed transaction data. The system and method may then clean the retrieved and parsed transaction data having a transaction location outside a threshold distance from the one or more centroids to include accurate merchant store number data.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: Embodiments herein relate to prostate cancer management, and more particularly to managing prostate cancer by obtaining fine-grained Gleason grades and predicting clinical outcomes from needle core biopsy images and radical prostatectomy images. A deep learning model is fed with a plurality of training images and is trained to recognize fine-grained Gleason patterns in the plurality of training images. The output of the deep learning model is representative of the fine-grained Gleason score.

Abstract: Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

Abstract: Techniques for analyzing stored video upon a request are described.

Abstract: A system (e.g., an ultrasound imaging system) is provided. The system includes an ultrasound probe configured to acquire three-dimensional (3D) ultrasound data of a volumetric region of interest (ROI). The system further includes a display, a memory configured to store programmed instructions, and a controller circuit. The controller circuit includes one or more processors. The controller circuit is configured to execute the programmed instructions stored in the memory. When executing the programmed instructions, the controller circuit performs a plurality of operations. The operations includes collecting the 3D ultrasound data from an ultrasound probe and identifying a select set of the 3D ultrasound data corresponding to an object of interest within the volumetric ROI. The operations further include segmenting the object of interest from the select set of the 3D ultrasound data, generating a visualization plane of the object of interest, and displaying the visualization plane on the display.

Abstract: Micro-biological colony counters and more particularly, to a device and a method for lighting, conditioning and capturing image(s) of organic sample(s) such as but not limited to micro-organisms. The device (700) captures accurate image(s) of organic sample(s) and has a fixed focus imaging for repeatability in quality of images. The device (700) can capture images of organic sample in different lighting and color conditions thereby improving detection of microbiological colonies by increasing the contrast from the background medium. The color calibrated imaging device (700) provides diffused illumination by using polychromatic LED lights, light reflectors and light diffusers for optimal color reproduction of micro-biological colonies contained in organic sample(s). The device (700) is adapted for automatic capturing of images of organic sample(s) cultivated on petri dishes of different sizes.

Abstract: Micro-biological colony counters and more particularly, systems and methods for feeding, identifying, counting, classifying, segregating and collecting organic samples such as but not limited to micro-organisms. The system can classify colonies in different classes such as bacteria and fungus present in an organic sample and also gives a digital count on the number of colonies present in each of the classes separately. The system reduces the time in counting and classification of microbes in each class separately, eliminates manual errors and requires less manual intervention. The system is reliable and can perform the counting and classification of microbes in each class separately even in absence of well-trained technician. The system can count surface colonies in petri-dish and can count colonies in different size or diameter of petri-dish.

Abstract: Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: A system and computer-implemented method distributes rewards and loyalty points in a payment network based on purchase patterns. The system and method may receive purchase data corresponding to a plurality of purchases where the purchase data includes a merchant, a purchase location, and a purchase time. The system and method may then determine a shopping pattern based on the purchase data. The shopping pattern may indicate a probability that a first purchase transaction beginning at a first store will proceed to a second purchase transaction at a second store. The system and method may also receive further purchase data corresponding to a user computer system and compare it to the shopping pattern. The system and method may then send, to the user computer system, one or more of rewards and loyalty points corresponding to the second store when the further purchase data includes the first store.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: Technologies are disclosed for efficiently identifying objects in videos using deep neural networks and motion information. Using the disclosed technologies, the amount of time required to identify objects in videos can be greatly reduced. Motion information for a video, such as motion vectors, are extracted during the encoding or decoding of the video. The motion information is used to determine whether there is sufficient motion between frames of the video to warrant performing object detection on the frames. If there is insufficient movement from one frame to a subsequent frame, the subsequent frame will not be processed to identify objects contained therein. In this way, object detection will not be performed on video frames that have changed minimally as compared to a previous frame, thereby reducing the amount of time and the number of processing operations required to identify the objects in the video.

Abstract: Methods and systems for automated assessment of respiratory cytology specimens. Embodiments disclosed herein relate to oncology, and more particularly to automated assessment of respiratory cytology specimens for adequacy, diagnosis and treatment decisions for lung carcinoma. A method disclosed herein includes predicting an adequacy of the respiratory cytology specimens using Artificial Intelligence (AI)/deep learning models. The method further includes diagnosing and staging the respiratory cytology specimens on predicting that the respiratory cytology specimens are adequate for further processing. The method further includes generating at least one of an adequate report, an inadequate report, and a diagnosis and staging report.

Abstract: A method of assessing uterine parameters via a apparatus including a processor includes determining, by the processor, at least one uterine parameter based on one or more ultrasound images of a uterus of a subject, the one or more ultrasound images being obtained on predefined days within an IVF cycle of the subject, tracking, by the processor, a change in the at least one uterine parameter, and predicting, by the processor, success of embryo implantation based on the change in the at least one uterine parameter.

Abstract: Systems and methods are provided relating to hierarchical machine learning models to identify an anatomical structure of interest and perform diagnostic procedures for a medical diagnostic imaging system. The systems and methods organize a plurality of models into a hierarchical structure based on anatomical structures. The plurality of models are defined by a machine learning algorithm for diagnostic procedures of one or more of the anatomical structures. The systems and methods receive a medical image, identifying an anatomical structure of interest within the medical image, select at least a first model from the plurality of models based on the anatomical structure of interest, and perform a first diagnostic procedure of the anatomical structure of interest based on the first model.

Abstract: A system and method may retrieve transaction data for a plurality of electronic payment system transactions. The transaction data may describe a plurality of electronic payment transactions between a payment network system and a plurality of merchants. The transaction data may include a transaction location and a merchant store number. The system and method may parse the transaction data to identify the transaction location and the merchant store number and analyze the retrieved and parsed transaction data to identify one or more centroids for at least a portion of the retrieved and parsed transaction data. The one or more centroids may correspond to a merchant location for each transaction of the retrieved and parsed transaction data. The system and method may then clean the retrieved and parsed transaction data having a transaction location outside a threshold distance from the one or more centroids to include accurate merchant store number data.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: Techniques for analyzing stored video upon a request are described. For example, a method of receiving a first application programming interface (API) request to analyze a stored video, the API request to include a location of the stored video and at least one analysis action to perform on the stored video; accessing the location of the stored video to retrieve the stored video; segmenting the accessed video into chunks; processing each chunk with a chunk processor to perform the at least one analysis action, each chunk processor to utilize at least one machine learning model in performing the at least one analysis action; joining the results of the processing of each chunk to generate a final result; storing the final result; and providing the final result to a requestor in response to a second API request is described.

Abstract: A system processes a video stream to identify an activity performed by a subject. The system examines the video segment for the presence or absence of an object that is correlated with the activity. If the object is found, and if the object is positively correlated with the detected activity, a confidence level associated with detecting the activity is increase. If the object is found, and if it is negatively correlated with the activity, the confidence level is decreased. In other examples, absence of an object may be positively or negatively correlated with the activity. In one embodiment, the system may detect a number of alternative activities, and may use the presence or absence of various objects to determine the most likely activity being performed. In another embodiment, the system may use the presence of various objects to narrow the set of activities that are searched for.