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Medical Image Compression Part 4 - Resource Bottlenecks

Image Compression algorithms (also known as codecs for coder/encoder) each have different tradeoffs in terms of compression ratios, encode time and decode time. Each codec has a different demand on underlying IT infrastructure such as CPU, Memory, Storage and Network. The codecs in use will therefore have a direct impact on the cost of an IT system and also the productivity of radiologists interpreting the users (e.g. relative value units or RVUs).



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Medical Image Compression Part 4 - Resource Bottlenecks

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Image Compression algorithms (also known as codecs for coder/encoder) each have different tradeoffs in terms of compression ratios, encode time and decode time. Each codec has a different demand on underlying IT infrastructure such as CPU, Memory, Storage and Network. The codecs in use will therefore have a direct impact on the cost of an IT system and also the productivity of radiologists interpreting the users (e.g. relative value units or RVUs).



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https://chafey.github.io/2019/11/19/medical-image-compression-part-4.html

Medical Image Compression Part 4 - Resource Bottlenecks

Image Compression algorithms (also known as codecs for coder/encoder) each have different tradeoffs in terms of compression ratios, encode time and decode time. Each codec has a different demand on underlying IT infrastructure such as CPU, Memory, Storage and Network. The codecs in use will therefore have a direct impact on the cost of an IT system and also the productivity of radiologists interpreting the users (e.g. relative value units or RVUs).

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