Application of AI Technology in Tumor medical Imaging

Tong li (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)

Article ID: 2026

Abstract


Artificial intelligence AI has many algorithms, , there are many applications in central nervous system tumors, lung cancer, breast cancer,prostate cancer, orthopaedic tumors, etc., with the norms and support ofnational policies,AI technology in tumor medical imaging will be ushedbroadly.

Keywords


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

Full Text:

PDF

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).



DOI: https://doi.org/10.30564/jor.v2i1.2026

Refbacks

  • There are currently no refbacks.
Copyright © 2020 Author(s)


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