Glomerulosclerosis identification in whole slide images using semantic segmentation

This publication has 11 references indexed in Scilit:

• Segmentation of Glomeruli Within Trichrome Images Using Deep Learning
  Kidney International Reports, 2019
• A survey on deep learning techniques for image and video semantic segmentation
  Applied Soft Computing, 2018
• Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections
  Journal of the American Society of Nephrology, 2018
• Glomerulus Classification and Detection Based on Convolutional Neural Networks
  Journal of Imaging, 2018
• Automatic quantification of IHC stain in breast TMA using colour analysis
  Computerized Medical Imaging and Graphics, 2017
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
• ImageNet Large Scale Visual Recognition Challenge
  International Journal of Computer Vision, 2015
• A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
  IEEE Transactions on Biomedical Engineering, 2014
• Color transfer between images
  IEEE Computer Graphics and Applications, 2001
• Atlas of Renal Pathology
  1980