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Training state-of-the-art pathology foundation models with orders of magnitude less data
We present three novel pathology FMs trained on up to two orders of magnitude fewer WSIs than those used to train other state-of-the-art FMs while demonstrating a comparable or superior performance on downstream tasks.
Mikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert Berke, Fei Tang, Sebastian Otálora
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MetaGraph: Indexing and Analysing Nucleotide Archives at Petabase-scale
We present MetaGraph, a scalable framework for indexing large collections of sequencing data.
Mikhail Karasikov, Harun Mustafa, Daniel Danciu, Marc Zimmermann, Christopher Barber, Gunnar Rätsch, André Kahles
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MetaGraph: Indexing and Analysing Nucleotide Archives at Petabase-scale