A transfer learning approach to few-shot segmentation of novel white matter tracts - Citegraph

Paper Info

Title
A transfer learning approach to few-shot segmentation of novel white matter tracts

Abstract
•We explore knowledge transfer for few-shot segmentation of novel WM tracts.•A model pretrained for segmenting existing WM tracts is given.•We derive a better network initialization for segmenting novel WM tracts.•Data augmentation is further applied with tract-aware image mixing.•Our method was validated on public and private datasets under various settings.

Year	DOI	Venue
2022	10.1016/j.media.2022.102454	Medical Image Analysis
Keywords	DocType	Volume
White matter tract segmentation,Novel white matter tract,Few-shot segmentation,Transfer learning	Journal	79
ISSN	Citations	PageRank
1361-8415	0	0.34
References	Authors
0	9

Authors (9 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Qi Lu	1	0	0.34
Wan Liu	2	0	0.34
Zhizheng Zhuo	3	0	0.34
Yuxing Li	4	12	2.89
Yunyun Duan	5	0	0.68
Pinnan Yu	6	0	0.68
Liying Qu	7	0	0.68
Chuyang Ye	8	0	0.68
Yaou Liu	9	7	2.00

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