Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks

Tumor segmentation in histopathology images is often complicated by its composition of different histological subtypes and class imbalance. Oversampling subtypes with low prevalence features is not a satisfactory solution since it eventually leads to overfitting. We propose to create synthetic image...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Öttl, Mathias, Mönius, Jana, Rübner, Matthias, Geppert, Carol I, Qiu, Jingna, Wilm, Frauke, Hartmann, Arndt, Beckmann, Matthias W, Fasching, Peter A, Maier, Andreas, Erber, Ramona, Breininger, Katharina
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Conditioning Datasets Diffusion Generative adversarial networks Histopathology Image segmentation Tumors
Online-Zugang:	Volltext
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