2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 1 cited
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
Mehdi Astaraki, Simone Bendazzoli
The automatic segmentation of pathological regions within whole-body PET-CT volumes has the potential to streamline various clinical applications such as diagno-sis, prognosis, and…
eess.IV2022★ 2 cited
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information
Simone Bendazzoli, Mehdi Astaraki
Tumor segmentation in PET-CT images is challenging due to the dual nature of the acquired information: low metabolic information in CT and low spatial resolution in PET. U-Net arch…