Classifier ensemble for an effective cytological image analysis
A novel medical decision support framework for cytological image analysis. An in-depth examination of four proposed hybrid image segmentation methods. An efficient classifier ensemble using a trained fuser based on discriminants. Decision rules for fusing the outputs for nine images into a single prediction for the patient. Experimental investigations carried on a large and diverse database collected by authors.
classifier ensemble image analysis trained fuser pattern recognition machine learning multiple classifier system