Welcome to share the paper and code related to tumor synthesis

[MrGiovanni]

Suggested format

• Paper title:
• Author list:
• Paper link:
• Code link:

We have made efforts to include papers related to synthetic tumors as comprehensively as possible, but we acknowledge that there may be some important publications that we have missed. Considering the dynamic nature of research in this area, we anticipate that it will gain increasing attention in the near future. Therefore, we are committed to continuously expanding our list over time.

Your valuable input would be highly appreciated in this regard. We welcome any suggestions on publications that we may have overlooked, as well as any new publications that you come across in the future and find relevant to our repository.

[MrGiovanni]

There are also these and related works that come to mind:
Munawar, A., Li, Z., Kunjam, P., Nagururu, N., Ding, A. S., Kazanzides, P., ... & Unberath, M. (2022). Virtual reality for synergistic surgical training and data generation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 10(4), 366-374.

Pfeiffer, M., Funke, I., Robu, M. R., Bodenstedt, S., Strenger, L., Engelhardt, S., ... & Speidel, S. (2019). Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V 22 (pp. 119-127). Springer International Publishing.

Acknowledgment: thanks for the suggestion from Mathias Unberath

[johnson111788]

Here's a paper correlated to this work.

@inproceedings{wei2022pancreatic,
title={Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation},
author={Wei, Zihan and Chen, Yizhou and Guan, Qiu and Hu, Haigen and Zhou, Qianwei and Li, Zhicheng and Xu, Xinli and Frangi, Alejandro and Chen, Feng},
booktitle={Artificial Neural Networks and Machine Learning--ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6--9, 2022, Proceedings, Part II},
pages={419--431},
year={2022},
organization={Springer}
}

[MrGiovanni]

Synthetic data in machine learning for medicine and healthcare
Richard J. Chen, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson & Faisal Mahmood
https://www.nature.com/articles/s41551-021-00751-8

[zoedsy]

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound
Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B Delahunt, Daniel E Shea, Zohreh Laverriere, Ishan Shah, Matthew P Horning
https://arxiv.org/abs/2310.03608

[qic999]

Paper title: LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models
Author list: Hantao Zhang, Jiancheng Yang, Shouhong Wan, and Pascal Fua
Paper link: https://arxiv.org/pdf/2403.14066.pdf
Code link: https://github.com/M3DV/LeFusion

[ariellubonja]

Relevant paper on generation of CT Images: Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9770375