DeepISLES - Stroke Lesion Segmentation in MRI

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DeepISLES is an advanced tool designed for the segmentation of ischemic stroke lesions in MRI. It accurately identifies and segments infarctions across various brain regions, encompassing a wide spectrum of sizes, ischemia counts, and patterns. Developed as part of the ISLES 2022 challenge, the algorithm operates on DWI, ADC, and optionally, FLAIR images.

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Specifications

Category:
Algorithm or Reusable Library, Docker
License:
Apache License 2.0
Domain:
MR
Operating System:
Linux
Supported Data Format:
DICOM, NIfTI-1
Other Keywords:
Deep Learning, Lesion segmentation

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Registered: Jan 9

Organization: University of Zurich

Available using Docker.Docker Image Repo: isleschallenge/deepisles

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