most citedImpact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 4 cited

Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology

Laura Gálvez Jiménez, Christine Decaestecker

Segmentation and classification of large numbers of instances, such as cell nuclei, are crucial tasks in digital pathology for accurate diagnosis. However, the availability of high…