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Low-dose CT dataset for generative adversarial network training
A dataset of 40 low-dose chest CT scans with varying dose levels and slice thicknesses, used for training a generative adversarial network for CT normalization. -
AAPM Challenge Data and CQ500 dataset
Low-dose CT imaging dataset using AAPM Challenge Data and CQ500 dataset -
Low-dose CT dataset
The dataset for low-dose CT image enhancement and segmentation. -
Thoracic Dataset
A thoracic-abdominal (Thoracic) dataset containing 407 pairs of CT images from an anthropomorphic thoracic phantom. -
Real Piglet Dataset
A real dataset acquired from a deceased piglet containing 900 images with 100KV p, 0.625mm thickness. -
Simulated Low-Dose CT Dataset
A simulated low-dose CT dataset generated from normal-dose CT images to be used for training a deep neural network to remove noise from low-dose CT images. -
Mayo-2016 and Mayo-2020 datasets
Two public low-dose CT denoising datasets -
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose C...
Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising -
Mayo-2016 and Mayo-2020
Two public LDCT denoising datasets: Mayo-2016 and Mayo-2020.