Work

ConvNeXt-2U: A 3-D Deep Learning-Based Segmentation Model for Unified and Automatic Segmentation of Lungs, Normal Liver and Tumors in Y-90 Radioembolization Dosimetry

Year: 2024

Type: article

Source: IEEE Transactions on Radiation and Plasma Medical Sciences

DOI: 10.1109/trpms.2024.3510587

Authors: Gefei Chen, Haiyan Wang, Zhonglin Lu, Tung-Hsin Wu, Ko-Han Lin, Greta S. P. Mok

Institutions: University of Macau, National Yang Ming Chiao Tung University, Taipei Veterans General Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Alternatives Research and Development Foundation, Universidade de Macau, Fundo para o Desenvolvimento das Ciências e da Tecnologia

Awards: G4697856234, G4791883854, G5409683790

OpenAlex ID: W4405270245

FWCI: 0.28

Cites: 40

Cited by: 2

Related to: 10