CPC G06F 21/6254 (2013.01) [G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01)] | 9 Claims |
1. A system for data collection for machine learning of a machine learnable model, the system comprising:
one or more hardware processors;
a communication interface to another entity associated with training of a machine learnable model; and
a memory storing instructions to:
receive a request for training data from the other entity;
access:
medical image data of at least one patient and label data defining labels associated with the medical image data; and
privacy policy data defining one or more computer-readable criteria for limiting a selection of the medical image data to a subset of the medical image data to obfuscate an identity of the at least one patient;
verify whether the request is in compliance with the privacy policy data;
based on the one or more computer-readable criteria, automatically perform, by the one or more hardware processors, the selection of the medical image data and an associated selection of the label data to obtain privacy policy-compliant training data, wherein the selection is limited to one or more image regions of the medical image data; and
via the communication interface, transmit the privacy policy-compliant training data to the other entity to enable the machine learnable model to be trained on the basis of the privacy policy-compliant training data.
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