BriefGPT.xyz
Sep, 2021
利用合成生成的计算机断层扫描(CT)图像改善结核病(TB)预测
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
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Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova
TL;DR
通过从X光合成生成CT图像,可以提高腐败性疾病分类准确性,特别地,我们研究了结核病,并展示了合成CT图像比基线X光提高了7.50%的结核病标识能力和12.16%的结核病特性区分能力。
Abstract
The evaluation of
infectious disease
processes on radiologic images is an important and challenging task in
medical image analysis
. Pulmonary infections can often be best imaged and evaluated through
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