A Coarse-to-Fine Fusion Network for Small Liver Tumor Detection and Segmentation: A Real-World Study

A Coarse-to-Fine Fusion Network for Small Liver Tumor Detection and Segmentation: A Real-World Study

Liver tumor semantic segmentation is a crucial task in medical image analysis that requires multiple MRI modalities. This paper proposes a novel coarse-to-fine fusion segmentation approach to detect and segment small liver tumors of various sizes. To enhance the segmentation accuracy of small liver...

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Bibliographic Details
Main Authors: Shu Wu, Hang Yu, Cuiping Li, Rencheng Zheng, Xueqin Xia, Chengyan Wang, He Wang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
dynamic contrast-enhanced imaging
segmentation
lesion detection
small liver tumor
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/2075-4418/13/15/2504

Internet

https://www.mdpi.com/2075-4418/13/15/2504

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