Web: http://arxiv.org/abs/2203.02202

Sept. 16, 2022, 1:15 a.m. | Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam

cs.CV updates on arXiv.org arxiv.org

The increasing energy consumption and carbon footprint of deep learning (DL)
due to growing compute requirements has become a cause of concern. In this
work, we focus on the carbon footprint of developing DL models for medical
image analysis (MIA), where volumetric images of high spatial resolution are
handled. In this study, we present and compare the features of four tools from
literature to quantify the carbon footprint of DL. Using one of these tools we
estimate the carbon footprint …

analysis arxiv carbon carbon footprint deep learning image medical training

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