We present H&E Otsu thresholding, a scheme for rapidly detecting tissue in
whole-slide images (WSIs) that eliminates a wide range of undesirable artefacts
such as pen marks and scanning artefacts. Our method involves obtaining a
bid-modal representation of a low-magnification RGB overview image which
enables simple Otsu thresholding to separate tissue from background and
artefacts. We demonstrate our method on WSIs prepared from a wide range of
institutions and WSI digital scanners, each containing substantial artefacts
that cause other methods to fail. The beauty of our approach lies in its
simplicity: manipulating RGB colour space and using Otsu thresholding allows
for the rapid removal of artefacts and segmentation of tissue.

使用 H&E Otsu 阈值化方法，快速检测整个切片图像中的组织并消除各种不良产物，如笔迹和扫描工。具。我们的方法通过获取低放大倍数的 RGB 概览图像的双峰表示，实现了简单的 Otsu 阈值化分离组织、背景和产物。我们在来自多个机构和数字扫描仪的切片图像上演示了我们的方法，每个图像都包含导致其他方法失败的大量产物。我们方法的优势在于其简单性：通过操作 RGB 颜色空间和使用 Otsu 阈值化，可以快速消除产物并分割组织。