no code implementations • 11 Mar 2024 • Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
Manual segmentation of tumors in whole-body PET images is time-consuming, labor-intensive and operator-dependent.
no code implementations • 12 Mar 2022 • Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos Uribe, Fereshteh Yousefirizi
(4) TR via multiple PET/CT fusions in HNC.
no code implementations • 16 Feb 2022 • Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim
We utilized a 3D nnU-Net model with residual layers supplemented by squeeze and excitation (SE) normalization for tumor segmentation from PET/CT images provided by the Head and Neck Tumor segmentation chal-lenge (HECKTOR).