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boa-contrast

body-and-organ-analysis

BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.

deidentifhir

deidentifhir-pipeline

dicom-deidentifier-ts

dicom-rst

DICOMweb-compatible gateway server with DIMSE and S3 implementations

dicomdeidentify

dcm4che based DICOM de-identification lib

fhir-converter

Thin wrapper around Microsoft FHIR Converter to allow for a standalone FHIR server that provides data conversion operations.

fhir-pyrate

FHIR-PYrate is a package that provides a high-level API to query FHIR Servers for bundles of resources and return the structured information as pandas DataFrames. It can also be used to filter resources using RegEx and SpaCy and download DICOM studies and series.

matrix-scala

mm-ws-scala

A library that implements websocket functionality in Scala 2

platelet-risk-assessment

salt

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

saros-dataset

Sparsely Annotated Region and Organ Segmentation (SAROS) - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data