Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

20 Feb 2020Keno K. BressemLisa AdamsChristoph ErxlebenBernd HammStefan NiehuesJanis Vahldiek

Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks, trained on large image-datasets... (read more)

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