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Processing Megapixel Images

Processing Megapixel Images

PyTorch implementation of the paper: “Processing Megapixel Images with Deep Attention-Sampling Models”.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825292

This project is part of the BDV initiative

In liaison with

Recent posts xxx

The final version of the ExaMode ontology is available in Zenodo February 27, 2023
Semestrial meeting in Padua January 25, 2023
Gianmaria Silvello invited speaker for the second Swetaly workshop on AI (16.09.2022) described ExaMode and the latest advancements of the project September 16, 2022
The ExaMode results on “training computer-aided diagnosis models without human annotations” are on a spotlight on the Nature Health Portfolio! August 24, 2022
“Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations” is out on Digital Medicine (gold open access). July 22, 2022
A new digital terminology open access book June 9, 2022
Training Biomedical Relation Extraction Models with a Limited amount of Annotated Data June 9, 2022
The latest ExaMode ontology version is available May 24, 2022
ExaMode at the MARVEL Dataweek 2022 Workshop May 13, 2022
ExaMode and yourTerm March 11, 2022

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