Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation

The process of annotating histological gigapixel-sized whole slide images (WSIs) at the pixel level for the purpose of training a supervised segmentation model is time-consuming. Region-based active learning (AL) involves training the model on a limited number of annotated image regions instead of r...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Qiu, Jingna, Wilm, Frauke, Öttl, Mathias, Schlereth, Maja, Liu, Chang, Heimann, Tobias, Aubreville, Marc, Breininger, Katharina
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Annotations Datasets Image annotation Image segmentation Learning Medical imaging Optimization Semantic segmentation Source code Training
Online-Zugang:	Volltext
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