Ecologically sustainable benchmarking of AI models for histopathology

Ecologically sustainable benchmarking of AI models for histopathology

Abstract Deep learning (DL) holds great promise to improve medical diagnostics, including pathology. Current DL research mainly focuses on performance. DL implementation potentially leads to environmental consequences but approaches for assessment of both performance and carbon footprint are missing...

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Main Authors: Yu-Chia Lan, Martin Strauch, Pourya Pilva, Nikolas E. J. Schmitz, Alireza Vafaei Sadr, Leon Niggemeier, Huong Quynh Nguyen, David L. Hölscher, Tri Q. Nguyen, Jesper Kers, Roman D. Bülow, Peter Boor
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01397-x
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https://doi.org/10.1038/s41746-024-01397-x

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