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Application of AI Technology in Tumor medical Imaging

Authors

  • Tong li Email Beijing Gaobo Hospital Management Co., Ltd., Beijing, 100000, China
  • Yi Xie Beijing Anxun Dasheng Technology Co., Ltd., Beijing, 100000, China
  • Jingxiong Chen Beijing Gaobo Hospital Management Co., Ltd., Beijing, 100000, China

DOI:

https://doi.org/10.30564/jor.v2i1.2026
Received: 20 June 2020 | Published Online: 3 July 2020

Abstract

Artificial intelligence AI has many algorithms, , there are many appli
cations in central nervous system tumors, lung cancer, breast cancer,
prostate cancer, orthopaedic tumors, etc., with the norms and support of
national policies,AI technology in tumor medical imaging will be ushed
broadly.

Keywords:

Artificial intelligence, Algorithms, Deep learning, Oncology, Medical imaging

References

[1]Dong Meng jie,et al. Artificial intelligence in medical imaging. Int J Radiat Med Nucl Med. January 2020, 44(1).

[2]Nicolas Carion,et al. End to End Object Detection with Transformers.ar Xiv: 2005.12872v1 [cs.CV] 26 May 2020.

[3]Soltaninejad M, Yang G, Lambrou T, et al. Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels. Comput Methods Programs Biomed, 2018, 157: 69-84.

[4]W Sun, B Zheng, W Qian. Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. Comput Biol Med, 2017, 89: 530-539.

[5] Qiang Xu, et al. Current and challenge in clinical transformation of the new generation of artificial intelligence in medical imaging. Chin J Radiol, November 2019, 53(11).

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Issue

2020 Vol.2 No.1

Article Type

Article

License

Copyright © 2020 Tong li, Yi Xie, Jingxiong Chen

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.