Multihead Attention U‐Net for Magnetic Particle Imaging–Computed Tomography Image Segmentation
Magnetic particle imaging (MPI) is an emerging noninvasive molecular imaging modality with high sensitivity and specificity, exceptional linear quantitative ability, and potential for successful applications in clinical settings. Computed tomography (CT) is typically combined with the MPI image to obtain more anatomical information. Herein, a deep learning‐based approach for MPI‐CT image segmentation is presented. The dataset utilized in training the proposed deep learning model is obtained from a transgenic mouse model of breast cancer following administration of indocyanine green (ICG)‐conjugated superparamagnetic iron oxide nanoworms (NWs‐ICG) as the tracer. The NWs‐ICG particles progressively accumulate in tumors due to the enhanced permeability and retention (EPR) effect. The proposed deep learning model exploits the advantages of the multihead attention mechanism and the U‐Net model to perform segmentation on the MPI‐CT images, showing superb results. In addition, the model is characterized with a different number of attention heads to explore the optimal number for our custom MPI‐CT dataset.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Multihead Attention U‐Net for Magnetic Particle Imaging–Computed Tomography Image Segmentation ; day:09 ; month:09 ; year:2024 ; extent:10
Advanced intelligent systems ; (09.09.2024) (gesamt 10)
- Creator
-
Juhong, Aniwat
Li, Bo
Liu, Yifan
Yang, Chia‐Wei
Yao, Cheng‐You
Agnew, Dalen W.
Lei, Yu Leo
Luker, Gary D.
Bumpers, Harvey
Huang, Xuefei
Piyawattanametha, Wibool
Qiu, Zhen
- DOI
-
10.1002/aisy.202400007
- URN
-
urn:nbn:de:101:1-2409101417560.320967828496
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Juhong, Aniwat
- Li, Bo
- Liu, Yifan
- Yang, Chia‐Wei
- Yao, Cheng‐You
- Agnew, Dalen W.
- Lei, Yu Leo
- Luker, Gary D.
- Bumpers, Harvey
- Huang, Xuefei
- Piyawattanametha, Wibool
- Qiu, Zhen
Other Objects (12)
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Attention based UNet model for breast cancer segmentation using BUSI dataset
Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation
Wirtschaftspolitische Rahmenbedingungen und ausländische Direktinvestitionen in der VR China
Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance
Behavioral heterogeneity and financial markets: Locked/crossed quotes under informationally efficient pricing
Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
Bifurcation analysis of a two-dimensional discrete Hindmarsh–Rose type model
A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data
Population coding of valence in the basolateral amygdala
Infection-induced cascading failures – impact and mitigation
Blow-up rates and uniqueness of entire large solutions to a semilinear elliptic equation with nonlinear convection term
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Attention based UNet model for breast cancer segmentation using BUSI dataset
Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation
Wirtschaftspolitische Rahmenbedingungen und ausländische Direktinvestitionen in der VR China
Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance
Behavioral heterogeneity and financial markets: Locked/crossed quotes under informationally efficient pricing
Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
Bifurcation analysis of a two-dimensional discrete Hindmarsh–Rose type model
A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data
Population coding of valence in the basolateral amygdala
Infection-induced cascading failures – impact and mitigation
Blow-up rates and uniqueness of entire large solutions to a semilinear elliptic equation with nonlinear convection term
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Attention based UNet model for breast cancer segmentation using BUSI dataset
Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation
Wirtschaftspolitische Rahmenbedingungen und ausländische Direktinvestitionen in der VR China
Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance
Behavioral heterogeneity and financial markets: Locked/crossed quotes under informationally efficient pricing
Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
Bifurcation analysis of a two-dimensional discrete Hindmarsh–Rose type model
A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data
Population coding of valence in the basolateral amygdala
Infection-induced cascading failures – impact and mitigation