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CT-PET Dataset

The CT‑PET dataset was created by Hanoi University of Science and Technology (Vietnam) and Nagoya University (Japan) among other institutions. It is currently the largest paired CT‑PET image dataset, containing 2,028,628 CT‑PET image pairs. The dataset covers a wide range of anatomical regions, from the head to the upper thigh, with images stored in DICOM format and detailed metadata. It was designed to support training and evaluation of CT‑to‑PET image translation models, particularly for cancer diagnosis and treatment monitoring. By incorporating domain knowledge such as attention maps and attenuation maps, the dataset aims to improve the accuracy of PET image generation and the quality of diagnostic information.

Source
arXiv
Created
Oct 29, 2024
Updated
Oct 29, 2024
Signals
1,085 views
Availability
Linked source ready
Overview

Dataset description and usage context

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach

数据集概述

  • 数据集名称: CT/PET Dataset
  • 数据集规模: 包含2,028,628对PET-CT图像
  • 数据集示例: 请参考CTPET_DATASET文件夹查看数据集样本

数据准备

  • 数据路径格式: yaml your_dataset_path/train/A # 训练参考 your_dataset_path/train/B # 训练真实值 your_dataset_path/val/A # 验证参考 your_dataset_path/val/B # 验证真实值 your_dataset_path/test/A # 测试参考 your_dataset_path/test/B # 测试真实值

引用

  • 论文引用:

    @inproceedings{nguyen2025CPDM, title = {CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach}, author = {Nguyen, Dac Thai and Nguyen, Trung Thanh and Nguyen, Huu Tien and Nguyen, Thanh Trung and Pham, Huy Hieu and Nguyen, Thanh Hung and Truong, Thao Nguyen and Nguyen, Phi Le}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, year = {2025}, }

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