Two Approaches for Automatic Nuclei Cell Counting in Low Resolution Fluorescence Images

This publication has 18 references indexed in Scilit:

• Automatic Particle Detection and Counting by One-Class SVM from Microscope Image
  Lecture Notes in Computer Science, 2009
• Segmentation of overlapping/aggregating nuclei cells in biological images
  2008 19th International Conference on Pattern Recognition, 2008
• A reliable method for cell phenotype image classification
  Artificial Intelligence in Medicine, 2008
• Methods for Counting Cells Supported by Digital Image Processing
  IFMBE Proceedings, 2008
• White Blood Cell Automatic Counting System Based on Support Vector Machine
  2007
• Bayesian fluorescence in situ hybridisation signal classification
  Artificial Intelligence in Medicine, 2004
• Feature representation and signal classification in fluorescence in-situ hybridization image analysis
  IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2001
• Support vector machines with different norms: motivation, formulations and results
  Pattern Recognition Letters, 2001
• An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images
  Pattern Recognition, 2001
• A Threshold Selection Method from Gray-Level Histograms
  IEEE Transactions on Systems, Man, and Cybernetics, 1979