2023
DOI: 10.1002/acm2.14233
|View full text |Cite
|
Sign up to set email alerts
|

Medical image segmentation of gastric adenocarcinoma based on dense connection of residuals

Ying Hu,
Yue Guo,
Xian Xu
et al.

Abstract: Background and objectiveAccurate segmentation of gastric cancer based on CT images of gastric adenocarcinoma is crucial for physicians to screen gastric diseases, clinical diagnosis, preoperative prediction, and postoperative evaluation plans. To address the issue of the inability of the segmentation algorithm to depict the correct boundaries due to unclear gastric contours in the lesion area and the visible irregular band‐like dense shadow extending to the perigastric region, a 3D medical image segmentation m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 24 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?