Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
نویسندگان
چکیده
The domain shift problem is an important issue in automatic cell detection. A detection network trained with training data under a specific condition (source domain) may not work well other conditions (target domain). We propose unsupervised adaptation method for using the pseudo-cell-position heatmap, where centroid becomes peak Gaussian distribution map. In prediction result target domain, even if location correct, signal around often has non-Gaussian shape. heatmap re-generated positions predicted to have clear Our selects confident heatmaps Bayesian and adds them next iteration. can incrementally extend from source semi-supervised manner. experiments 8 combinations of domains, proposed outperformed existing methods.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-87237-3_37