Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation

no code implementations • 10 Apr 2021 • Truong Dang, Thanh Nguyen, John McCall, Alan Wee-Chung Liew

Based on an observation that different segmentation algorithms will perform well on different subsets of examples because of the nature and size of training sets they have been exposed to and because of method-intrinsic factors, we propose to measure the confidence in the prediction of each algorithm and then use an associate threshold to determine whether the confidence is acceptable or not.

Ensemble Learning Image Segmentation +2

Two layer Ensemble of Deep Learning Models for Medical Image Segmentation

no code implementations • 10 Apr 2021 • Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García

We propose a two-layer ensemble of deep learning models for the segmentation of medical images.

Image Segmentation Medical Image Segmentation +3