Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies.
Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies.
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DOI：
10.1109/embc.2015.7318465
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Wang MD
中科院分区：
文献类型：
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作者：
Hang Wu;Phan JH;Bhatia AK;Cundiff CA;Shehata BM;Wang MD
Histopathological whole-slide images (WSIs) have emerged as an objective and quantitative means for image-based disease diagnosis. However, WSIs may contain acquisition artifacts that affect downstream image feature extraction and quantitative disease diagnosis. We develop a method for detecting blur artifacts in WSIs using distributions of local blur metrics. As features, these distributions enable accurate classification of WSI regions as sharp or blurry. We evaluate our method using over 1000 portions of an endomyocardial biopsy (EMB) WSI. Results indicate that local blur metrics accurately detect blurry image regions.
