Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

29 Sep 2018Faisal MahmoodDaniel BordersRichard ChenGregory N. McKayKevan J. SalimianAlexander BarasNicholas J. Durr

Nuclei segmentation is a fundamental task that is critical for various computational pathology applications including nuclei morphology analysis, cell type classification, and cancer grading. Conventional vision-based methods for nuclei segmentation struggle in challenging cases and deep learning approaches have proven to be more robust and generalizable... (read more)

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