Medical Image De-Identification Benchmark (MIDI-B) Challenge Posted By: David Kennedy - Jun 18, 2024Tool/Resource: NITRC Community The National Cancer Institute (NCI) is excited to announce the launch of the Medical Image De-Identification Benchmark (MIDI-B) Challenge (https://www.synapse.org/Synapse:syn53065...) with the goal of assessing rule-based DICOM de-identification (deID) algorithms using a large and diverse set of standardized clinical images with synthetic identifiers. Automated image de-identification methods that reserve the research utility of the data are desirable. To learn more, please visit the website: MIDI-B De-identification - syn53065760 - Wiki (synapse.org). (https://www.synapse.org/Synapse:syn53065...) Participation by teams from industry and academia is encouraged. Please forward this information to interested colleagues. |
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