Title
Soft and self constrained clustering for group-based labeling
Abstract
•A method that supports constructing a large-scale labeled medical image set.•Soft-constrained clustering suitable for medical image clustering tasks.•Utilizing prior knowledge of endoscopic images to improve clustering performance.
Year
DOI
Venue
2021
10.1016/j.media.2021.102097
Medical Image Analysis
Keywords
DocType
Volume
Soft-constrained clustering,Group-based labeling,Endoscopic image
Journal
72
ISSN
Citations 
PageRank 
1361-8415
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Shota Harada101.35
Ryoma Bise213716.83
hideaki hayashi333.97
Kiyohito Tanaka402.37
Seiichi Uchida5790105.59