Paper Info
Title
Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN
Abstract
In computer-aided diagnosis of liver tumors, tumor detection and segmentation are essential preprocessing steps. In this study, we proposed a method based on mask R-CNN to detect and segment the liver tumor in a multi-phase CT image simultaneously. Triple phase images are used as three different channels just like a color RGB image. The segmentation accuracy (Dice value) is about 0.60 ~ 0.66 for a single phase CT image, while the accuracy can be improved to about 0.73 by using the multi-phase CT image.
Year
DOI
Venue
2020
10.1109/LifeTech48969.2020.1570619011
2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)
Keywords
DocType
ISBN
multi-phase CT image,detection,segmentation,liver tumor,Mask R-CNN
Conference
978-1-7281-7064-0
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Ryo Hasegawa101.01
Yutaro Iwamoto21317.95
Lanfen Lin37824.70
Hongjie Hu44110.45
Yen-Wei Chen5720155.73