Tags: Status: Active Support: syn53065849 Abstract: Image de-identification is a requirement for the public sharing of medical images. The goal of the Medical Image De-Identification Benchmark (MIDI-B) challenge is to assess rule-based DICOM image de-identification (deID) algorithms using a large and diverse set of standardized clinical images with synthetic identifiers. Automated image de-identification methods that preserve the research utility of the data are desirable. DataType: Images Overview: syn53065760/wiki/625274 Timeline: syn53065760/wiki/627882 Objective: syn53065760/wiki/627881 Incentives: syn53065760/wiki/627880 Organizers: syn53065847 Description: syn53065760/wiki/627878 ConductRules: syn53065760/wiki/627883 Contributors: syn53065848 Instructions: syn53065760/wiki/627879 Announcements: ChallengeType: Model to Data Task_1.DataWiki: syn53065760/wiki/627887 Task_1.TaskType: EligibilityRules: syn53065760/wiki/627885 Task_1.DataFolder: syn53065761 Task_1.Description: syn53065760/wiki/627877 Task_1.Leaderboard: Task_1.EvaluationWiki: syn53065760/wiki/627888 Task_1.SubmissionType: Task_1.SubmissionWiki: syn53065760/wiki/627890 Task_1.WinningSubmission: ? Announcement of changes to MIDI-B dates Submission UID Mapping File This is a test - please ignore syn53065848 syn53065847 syn53065840 syn53065849