Title
Ensembling Low Precision Models for Binary Biomedical Image Segmentation
Abstract
Segmentation of anatomical regions of interest such as vessels or small lesions in medical images is still a difficult problem that is often tackled with manual input by an ex-pert. One of the major challenges for this task is that the appearance of foreground (positive) regions can be similar to background (negative) regions. As a result, many automatic segmentation algorithms tend to exhibit asy...
Year
DOI
Venue
2021
10.1109/WACV48630.2021.00037
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Keywords
DocType
ISSN
Image segmentation,Biological system modeling,Magnetic resonance imaging,Predictive models,Network architecture,Myocardium,Brain modeling
Conference
2472-6737
ISBN
Citations 
PageRank 
978-1-6654-0477-8
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Tianyu Ma100.34
Hang Zhang242.09
Hanley Ong300.34
Amar Vora400.34
Thanh D. Nguyen5259.69
Ajay Gupta600.34
Yi Wang7437.77
Sabuncu Mert R.8134478.78