Synthetically Generating Medical Images Using Deep Convolutional Generative Adversarial Networks

    公开(公告)号:US20210312242A1

    公开(公告)日:2021-10-07

    申请号:US17214442

    申请日:2021-03-26

    Abstract: Methods, devices, and systems that are related to facilitating an automated, fast and accurate model for cardiac image segmentation, particularly for image data of children with complex congenital heart disease are disclosed. In one example aspect, a generative adversarial network is disclosed. The generative adversarial network includes a generator configured to generate synthetic imaging samples associated with a cardiovascular system, and a discriminator configured to receive the synthetic imaging samples from the generator and determine probabilities indicating likelihood of the synthetic imaging samples corresponding to real cardiovascular imaging sample. The discriminator is further configured to provide the probabilities determined by the discriminator to the generator and the discriminator to allow the parameters of the generator and the parameters of the discriminator to be adjusted iteratively until an equilibrium between the generator and the discriminator is established.

    SYSTEMS AND METHODS FOR DISTRIBUTED STORAGE USING STORAGE CODES WITH FLEXIBLE NUMBER OF NODES

    公开(公告)号:US20230037969A1

    公开(公告)日:2023-02-09

    申请号:US17865950

    申请日:2022-07-15

    Abstract: Processes and device configurations are provided for generating and using flexible storage codes. Methods and configurations described herein can reconstruct and recover data from a distributed network in the event of one or more failures or erasures. According to embodiments, a method includes determining the number of nodes and number of symbols of a flexible storage code, and reconstructing the information using the flexible storage code and determined numbers of nodes and symbols. The flexible storage code may be configured for a flexible number of nodes and symbols for information to use a subarray of symbols and nodes of a storage code array for information. Flexible storage codes may provide a framework for a reconstruction configuration using one or more of a flexible locally recoverable code (LRC), flexible partial maximum distance separable code (PMDSC), and flexible minimum storage regenerating code (MSRC).

    Method and system for repairing Reed-Solomon codes

    公开(公告)号:US11228323B2

    公开(公告)日:2022-01-18

    申请号:US16887804

    申请日:2020-05-29

    Abstract: Methods and devices are provided for error correction of distributed data in distributed systems using Reed-Solomon codes. In one embodiment, processes are provided for error correction that include receiving a first correction code for data fragments stored in storage nodes, constructing a second correction code responsive to an unavailable storage node of the storage nodes, performing erasure repair of the unavailable storage node, and outputting a corrected data fragment. The first correction code is a Reed-Solomon code represented as a polynomial and the second correction code is represented as a second polynomial with an increased subpacketization size. Processes are configured to account for repair bandwidth and sub-packetization size. Code constructions and repair schemes accommodate different sizes of evaluation points and provide a flexible tradeoff between the subpacketization size repair bandwidth of codes. In addition, schemes are provided to manage a single node failure and multiple node failures.

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