Multi-expert fusion: An ensemble learning framework to segment 3d trus prostate images.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15679
Abstract: PURPOSE Prostate segmentation of 3D TRUS images is a prerequisite for several diagnostic and therapeutic applications. Unfortunately, this difficult task suffers from high intra- and inter-observer variability, even for experienced urologists/radiologists. This is why automatic… read more here.
Keywords: trus; fusion; prostate; multi expert ... See more keywords
DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making
Sign Up to like & getrecommendations! Published in 2020 at "Omega"
DOI: 10.1016/j.omega.2019.04.001
Abstract: Abstract This paper develops a comprehensive algorithm for multi-expert multi-criteria decision making problems considering quantitative and qualitative criteria in forms of benefit, cost or target types. We focus on using probabilistic linguistic term sets to… read more here.
Keywords: multi expert; criteria decision; expert multi; multi ... See more keywords
ME R-CNN: Multi-Expert R-CNN for Object Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2938879
Abstract: We introduce Multi-Expert Region-based Convolutional Neural Network (ME R-CNN) which is equipped with multiple experts (ME) where each expert is learned to process a certain type of regions of interest (RoIs). This architecture better captures… read more here.
Keywords: multi expert; expert; cnn; cnn multi ... See more keywords