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 Harada | 1 | 0 | 1.35 |
Ryoma Bise | 2 | 137 | 16.83 |
hideaki hayashi | 3 | 3 | 3.97 |
Kiyohito Tanaka | 4 | 0 | 2.37 |
Seiichi Uchida | 5 | 790 | 105.59 |