Litcius/Paper detail

Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images

Huixian Zhang, Hailong Li, Redha Ali, Wei Jia, Wen‐Chi Pan, Scott B. Reeder, David Harris, William R. Masch, Anum Aslam, Krishna Shanbhogue, Nehal A. Parikh, Jonathan R. Dillman, Lei He

2024Journal of Imaging Informatics in Medicine6 citationsDOIOpen Access PDF

Topics & Concepts

MedicineSegmentationGrading (engineering)Nuclear medicineGround truthModality (human–computer interaction)SpleenArtificial intelligenceMedical physicsRadiologyComputer scienceInternal medicineEngineeringCivil engineeringRadiomics and Machine Learning in Medical ImagingCOVID-19 diagnosis using AILiver Disease Diagnosis and Treatment
Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images | Litcius