Users praise the flash versions of GigaPath and GigaTIME for delivering 6x faster speed and 8x less memory use while retaining 97% performance, seeing these efficiency gains as practically deployable.
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@iScienceLuvr 6x faster with 8x less memory while retaining 97% performance - that is the kind of efficiency gain that actually gets deployed
Microsoft Research releases "Flash" versions of their pathology AI models: - GigaPath-Flash combines a 22M-parameter ViT-S tile encoder with a 21M-parameter LongNet slide encoder, distilled from the original GigaPath (ViT-g) model while retaining 97% of the performance - GigaTIME-Flash extends GigaPath-Flash to predict the tumor immune microenvironment directly from routine H&E images, replacing the CNN backbone of the original GigaTIME model. It surpasses the original CNN-based GigaTIME in prediction quality while running 6× faster and using 8× less GPU memory.
Users praise the flash versions of GigaPath and GigaTIME for delivering 6x faster speed and 8x less memory use while retaining 97% performance, seeing these efficiency gains as practically deployable.
Based on 1 visible X reactions from 2 accounts; directional sample.
Ask a question below.
Published answers will appear here.