PathomicFusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Combine cancer-related image and genetic data to improve diagnosis and treatment predictions.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeFusing Histology and Genomics via Deep Learning - IEEE TMI
PathomicFusion has 328 stars on GitHub. It has been forked 89 times. PathomicFusion is written mainly in Jupyter Notebook. It has been in active development since 2019. PathomicFusion is available under the GPL-3.0 license. Its main topics are computational-pathogenomics, fusion, genomics, histopathology.
What is PathomicFusion?
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Is PathomicFusion open source?
PathomicFusion is an open-source project. It is released under the GPL-3.0 license.
Is PathomicFusion free?
Yes. PathomicFusion is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does PathomicFusion use?
PathomicFusion is available under the GPL-3.0 license.
What language is PathomicFusion written in?
PathomicFusion is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mahmoodlab-pathomicfusion.html)
