Transformation of Medical Imaging Using Artificial Intelligence: Its Impact and Challenges with Future Opportunities
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1740-9_18
Reference36 articles.
1. Douglas Miller, D., et al.: Artificial intelligence in medical practice: the question to the answer? Am. J. Med. 131(2) (2018)
2. Shukla, S., et al.: Approaches of artificial intelligence in biomedical image processing a leading tool between computer vision & biological vision. 978-1-5090-0673-1/16 2016. IEEE (2016)
3. Imran Razzak, M., et al.: Deep leaning for medical image processing: overview, challenges and the future. Springer International Publishing (2018)
4. Perner, P., et al.: Image mining: issues, framework, a generic tool and its application to medical-image diagnosis. Eng. Appl. Artif. Intell. 15 (2002)
5. Venegas-Andraca, S.E., et al.: Quantum computation and image processing: new trends in artificial intelligence (2014)
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