[引用][C] Pannuke dataset extension, insights and baselines (2020)

J Gamper, NA Koohbanani, K Benes, S Graham… - arXiv preprint arXiv …, 2003
被引用次数：10 相关文章
[PDF] arxiv.org

Pannuke dataset extension, insights and baselines

J Gamper, NA Koohbanani, K Benes, S Graham… - arXiv preprint arXiv …, 2020 - arxiv.org
The emerging area of computational pathology (CPath) is ripe ground for the application of
deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in
whole-slide images (WSIs) of cancerous tissue slides. However, it is imperative for the DL
algorithms relying on nuclei-level details to be able to cope with data fromthe clinical wild',
which tends to be quite challenging. We study, and extend recently released PanNuke
dataset consisting of~ 200,000 nuclei categorized into 5 clinically important classes for the …
被引用次数：180 相关文章 所有 4 个版本
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