Abstract: Presented herein are systems and methods for detecting labels in biomedical images. A computing system having one or more processors coupled with memory may identify, from a data source, a biomedical image having a first plurality of pixels in a first color representation. The computing system may convert the first plurality of pixels from the first color representation to a second color representation to generate a second plurality of pixels. The computing system may identify, from the second plurality of pixels, a subset of pixels having a color value satisfying a threshold value. The computing system may detect the biomedical image as having at least one label based at least on a number of pixels in the subset of pixels satisfying a threshold count. The computing system may store, in one or more data structures, an indication for the biomedical image as having the at least one label.

Abstract: The present disclosure is directed to systems and methods of maintaining databases of biomedical images. A server may aggregate digital pathology records from data sources onto a database. Each record may be generated by a data source using a format, and may identify a biomedical image of a sample and data identifying a subject from which the sample is obtained. The server may receive, from a client device, a query identifying a criterion. The server may access the database to identify a subset of records using the criterion. For each record of the subset, the server may identify a data source that generated the record. The server may select a de-identification policy to apply based on the data source. The server may modify the data in the record according to the de-identification policy and the format. The server may provide, to the client device, the de-identified record.