A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Lignende værker

• Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images
  af: Xu, Jun, et al.
  Udgivet: (2019)
• An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images
  af: Jung, Hwejin, et al.
  Udgivet: (2019)
• Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes
  af: Luo, Yuan, et al.
  Udgivet: (2017)
• DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
  af: Wachinger, Christian, et al.
  Udgivet: (2017)
• A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images
  af: Janowczyk, Andrew, et al.
  Udgivet: (2016)