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Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning.

Yukun Liu | Tianshi Li | Ziwen Fan | Yiming Li | Zhiyan Sun | Shaowu Li | Yuchao Liang | Chunyao Zhou | Qiang Zhu | Hong Zhang | Xing Liu | Lei Wang | Yinyan Wang
Frontiers in neuroscience | 2022

The majority of solitary brain metastases appear similar to glioblastomas (GBMs) on magnetic resonance imaging (MRI). This study aimed to develop and validate an MRI-based model to differentiate intracranial metastases from GBMs using automated machine learning.

Pubmed ID: 35645718

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This is a list of tools and resources that we have found mentioned in this publication.


MRIcron (tool)

RRID:SCR_002403

Software tool as a cross-platform NIfTI format image viewer. Used for viewing and exporting of brain images. MRIcroGL is a variant of MRIcron.

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Cancer Imaging Archive (TCIA) (tool)

RRID:SCR_008927

Archive of medical images of cancer accessible for public download. All images are stored in DICOM file format and organized as Collections, typically patients related by common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Neuroimaging data sets include clinical outcomes, pathology, and genomics in addition to DICOM images. Submitting Data Proposals are welcomed.

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