… Figure 1 provides an overview of the proposed deep learning-based segmentation and
downstream analyses framework for WSI slide images corresponding to multiple different cancer …

… Representative discovery of structure cues for weakly-supervised image segmentation.
IEEE Transactions on Multimedia, 16(2):470–479, 2014. 4322 [51] Bolei Zhou, Aditya Khosla, …

… However, it is not a simple task to process whole-slide images (WSIs) like nature images. …
our tumor segmentation method and test on more breast histopathological images from …

… , we propose an image segmentation approach in the … neural networks, a whole prediction
image was reconstructed by … We can train the networks for the high-resolution image with …

… system for tissue segmentation of whole slide images is presented in Figure 3. The system
accepts input WSI of any size and outputs a corresponding segmentation image from the input…

… Accurate segmentation of hematoxylin and eosin (H&E)-stained whole slide images (WSIs) …
We first perform pixel-wise tumor segmentation using only the tumorous patches as the …

… tumor segmentation method for histology whole slide images. … (CNN) features for tumor
segmentation. We also proposed a … for tumor segmentation in histology images of other cancers. …

… On the one hand, it may not work as well for training images only with slide-level or patch-level
labels. It is noted that the manual annotation of tumor-regions in the whole slide images (…

… somatic mutations could be mostly found in the tumor tissue, which we defined as the … cancer
segmentation model to predict the tumor pixels. During training, 8 HES-stained slides were …

… People usually think of whole-slide imaging as an image acquisition method. It is possible
to transform the whole glass slide … Image segmentation is based on pixel points, dividing the …