A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images

A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images

Abstract Background Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning based network to detect HCC from dynamic CT images. Methods Dynamic CT imag...

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Bibliographic Details
Main Authors: I-Cheng Lee, Yung-Ping Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Chien-An Liu, Jia-Guan Huang, Rheun-Chuan Lee, Yee Chao, Shinn-Ying Ho, Yi-Hsiang Huang
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Cancer Imaging
Subjects:
Hepatocellular carcinoma
Deep learning
Segmentation
Detection
Computed tomography
Online Access:https://doi.org/10.1186/s40644-024-00686-8

Internet

https://doi.org/10.1186/s40644-024-00686-8

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