公开(公告)号：US20230342913A1

公开(公告)日：2023-10-26

申请号：US17660717

申请日：2022-04-26

Applicant: GE Precision Healthcare LLC

Inventor： Mahendra Madhukar Patil ,  Rakesh Mullick ,  Sudhanya Chatterjee ,  Syed Asad Hashmi ,  Dattesh Dayanand Shanbhag ,  Deepa Anand ,  Suresh Emmanuel Devadoss Joel

IPC: G06T7/00 ,  G06N20/00 ,  G06V10/25

CPC classification number: G06T7/0012 ,  G06N20/00 ,  G06V10/25 ,  G06V2201/03

Abstract: Techniques are described for generating high quality training data collections for training artificial intelligence (AI) models in the medical imaging domain. A method embodiment comprises receiving, by a system comprising processor, input indicating a clinical context associated with usage of a medical image dataset, and selecting, by the system, one or more data scrutiny metrics for filtering the medical image dataset based on the clinical context. The method further comprises applying, by the system, one or more image processing functions to the medical image dataset to generate metric values of the one or more data scrutiny metrics for respective medical images included in the medical image dataset, filtering, by the system, the medical image dataset into one or more subsets based on one or more acceptability criteria for the metric values.