Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas ; volume:12 ; number:1 ; day:31 ; month:12 ; year:2022 ; pages:1-12 ; date:12.2022
Scientific reports ; 12, Heft 1 (31.12.2022), 1-12, 12.2022
- Creator
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Liechty, Benjamin
Xu, Zhuoran
Zhang, Zhilu
Slocum, Cheyanne
Bahadir, Cagla D.
Sabuncu, Mert R.
Pisapia, David J.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-26170-6
- URN
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urn:nbn:de:101:1-2023031109470911286658
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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16.01.2025, 7:19 AM CET
Data provider
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Associated
- Liechty, Benjamin
- Xu, Zhuoran
- Zhang, Zhilu
- Slocum, Cheyanne
- Bahadir, Cagla D.
- Sabuncu, Mert R.
- Pisapia, David J.
- SpringerLink (Online service)
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DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology
Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas
Annotation-efficient deep learning for breast cancer whole-slide image classification using tumour infiltrating lymphocytes and slide-level labels
SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides
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