3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor

3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor

Automatic segmentation of gastric tumor not only provides image-guided clinical diagnosis but also assists radiologists to read images and improve the diagnostic accuracy. However, due to the inhomogeneous intensity distribution of gastric tumors in CT scans, the ambiguous/missing boundaries, and th...

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Bibliographic Details
Main Authors: Haimei Li, Bing Liu, Yongtao Zhang, Chao Fu, Xiaowei Han, Lei Du, Wenwen Gao, Yue Chen, Xiuxiu Liu, Yige Wang, Tianfu Wang, Guolin Ma, Baiying Lei
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
CT volumes
feature refinement
adaptive spatial feature fusion
feature pyramidal network
gastric tumor segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.618496/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.618496/full

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