Background: Computed tomography (CT)-defined fat quantification has been an emergent field of research in oncology. It was shown that this parameter is predictive and prognostic of several clinically
Abstract In this dataset, we present supplementary material from the paper by Bujny et al. (2024). The material includes STL models of aorta segmented in contrast Computed Tomography (CT) scans by a
This is the dataset of AbdomenCT-1K: Fully Supervised Learning Benchmark. Related paper: https://ieeexplore.ieee.org/document/9497733/ Benchmark homepage: https://abdomenct-1k-fully-supervised-learnin
Merlin Abdominal CT Dataset is an abdominal CT dataset consisting of 25,494 scans from 18,317 patients. Each scan is paired with its corresponding radiology report. The dataset includes abdominal and
