3D case–based retrieval for interstitial lung diseases
作者： Adrien Depeursinge , Alejandro Vargas , Alexandra Platon , Antoine Geissbuhler , Pierre–Alexandre Poletti
DOI: 10.1007/978-3-642-11769-5_4
关键词:
摘要: In this paper, a computer–aided diagnosis (CAD) system that retrieves similar cases affected with an interstitial lung disease (ILDs) to assist the radiologist in workup is presented and evaluated. The multimodal inter–case distance measure based on set of clinical parameters as well automatically segmented 3–dimensional regions tissue high–resolution computed tomography (HRCT) chest. A global accuracy 75.1% correct matching among five classes tissues mean average retrieval precision at rank 1 71% show automated categorization HRCT data complementary case–based both from user's viewpoint also algorithmic side.
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