7 datasets found

The Semantic Diffusion Model (SDM) is used for synthesizing pulmonary CT images from segmentation maps for data augmentation.

The AMOS22 CT subset is a large-scale abdominal multi-organ benchmark for versatile medical image segmentation.

The dataset introduced in [8], which is publicly available, is used for performance evaluation. It consists of 367 paired CT and MR images with the size of 512×256.

Cross-modality medical image synthesis is a critical topic and has the potential to facilitate numerous applications in the medical imaging field.

Cross-modality medical image synthesis is a critical topic and has the potential to facilitate numerous applications in the medical imaging field.

The multi-center BraTS 2019 dataset is used to perform cross-modality image-to-image synthesis and investigate domain adaptation.

A large public dataset of annotated medical images and videos, covering various medical specialties and imaging modalities.