Multiple instance learning for eosinophil quantification of sinonasal histopathology images: A hierarchical determination on whole slide images
Yen‐Chi Hsu,
Kao‐Tsung Lin,
Ming‐Sui Lee
et al.
Abstract:Key points
We proposed a hierarchical framework including an unsupervised candidate image selection and a weakly supervised patch image detection based on multiple instance learning (MIL) to effectively estimate eosinophil quantities in tissue samples from whole slide images.
MIL is an innovative approach that can help deal with the variability in cell distribution detection and enable automated eosinophil quantification from sinonasal histopathological images with a high degree of accuracy.
The study lays the… Show more
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