https://arxiv.org/html/2403.08295v1
Gemma Team - Google DeepMind
arXiv:2403.08295v1 [cs.CL] 13 Mar 2024
PodCast: https://www.youtube.com/watch?v=d29pHnNO8j8
https://arxiv.org/pdf/2104.09864
arXiv:2104.09864v5 [cs.CL] 8 Nov 2023
https://notebooklm.google.com/notebook/6b0eb7b8-ef28-4566-a9d5-4334b211e40b/audio
PodCast: https://youtu.be/FFxv6feFlhU
Journal of PathologyJ Pathol March 2024; 262: 310–319
Published online 14 December 2023 in Wiley Online Library
Daniel Truhn 1, Chiara ML Loeffler2,3,4 , Gustav Müller-Franzes 1, Sven Nebelung 1, Katherine J Hewitt 2,4,Sebastian Brandner 5 , Keno K Bressem 6, Sebastian Foersch 7 and Jakob Nikolas Kather
PodCast: https://youtu.be/mDzLCGYMKWo
1) the traditional approach to calculating proliferation from ki67 images: https://youtu.be/NCPNgRxWWDQ?t=141
2) Staging pathology reports with JSON schema
3) (Jeya's) converging structuring data representation broadly
4) Recalling schema in the context of syntactic interoperability preceding, and enabling semantic interoperability.
5) ...
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Have a close look at this ... it is CORS enabled :-)
https://raw.githubusercontent.com/jkefeli/tcga-path-reports/refs/heads/main/TCGA_Reports.csv.zip
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But this one is not :-(
https://github.com/jkefeli/tcga-path-reports/raw/refs/heads/main/TCGA_Reports.csv.zip
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this of course, always worked for text files:
https://raw.githubusercontent.com/jkefeli/tcga-path-reports/refs/heads/main/eval_metrics.py
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open source on-device Gemini models: https://ai.google/build
What is teh relationship between Gemma and in-browser AI? Is it just that the latter is Gemini nano?
...