Resizing and cleaning of histopathological images using generative adversarial networks

Gaffari Çelik and Muhammed Fatih Talu

Physica A: Statistical Mechanics and its Applications, 2020, vol. 554, issue C

Abstract: Bilinear and Bicubic interpolation techniques are frequently used to increase image resolution. These techniques with data modeling approach are replaced by intelligent systems that can learn automatically from data. SRGAN is a modern Generative Adversarial Network developed as an alternative to classical interpolation techniques. His ability to produce images in super resolution has attracted the attention of many researchers.

Keywords: SRGAN; Noise cleaning; Image resizing; Bicubic; Camelyon17 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:554:y:2020:i:c:s0378437119315146

DOI: 10.1016/j.physa.2019.122652

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