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A Robust Training Method for Pathological Cellular Detector via Spatial Loss Calibration
Computer-aided diagnosis of pathological images usually requires detecting and examining all positive cells for accurate diagnosis. However, cellular datasets tend to be sparsely annotated due to the challenge of annotating all the cells. However, training detectors on sparse annotations may be misl...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712578/ https://www.ncbi.nlm.nih.gov/pubmed/34970560 http://dx.doi.org/10.3389/fmed.2021.767625 |