Litcius/Paper detail

TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis

Fereshteh Yousefirizi, Ivan S. Klyuzhin, Joo Hyun O, Sara Harsini, Xin Tie, Isaac Shiri, Muheon Shin, Chang‐Hee Lee, Steve Y. Cho, Tyler Bradshaw, Habib Zaidi, François Bénard, Laurie H. Sehn, Kerry J. Savage, Christian Steidl, Carlos Uribe, Arman Rahmim

2024European Journal of Nuclear Medicine and Molecular Imaging45 citationsDOIOpen Access PDF

Topics & Concepts

SegmentationMedicineVoxelNuclear medicineComputer scienceArtificial intelligenceRadiologyLymphoma Diagnosis and TreatmentMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis | Litcius