TE-CapsNet: time efficient capsule network for automatic disease classification from medical images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17458-4.pdf
Reference51 articles.
1. Vitabile S et al (2019) Medical data processing and analysis for remote health and activities monitoring. In: Kołodziej J, González-Vélez H (eds) High-performance modelling and simulation for big data applications. Lecture Notes in Computer Science, vol 11400. Springer, Cham. https://doi.org/10.1007/978-3-030-16272-6_7
2. Selvaraj J, Prabha T, Kumar TDA, Palaniappan S (2022) Artificial intelligence in biomedical image processing. In: Singh S (ed) Machine learning and systems biology in genomics and health. Springer, Singapore. https://doi.org/10.1007/978-981-16-5993-5_8
3. Soomro TA, Zheng L, Afifi AJ et al (2022) Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif Intell Rev 55:1409–1439. https://doi.org/10.1007/s10462-021-09985-z
4. Pesapane F, Codari M, Sardanelli F (2018) Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp 2:35. https://doi.org/10.1186/s41747-018-0061-6
5. Santos MK, Ferreira Júnior JR, Wada DT, Tenório A, Barbosa M, Marques P (2019) Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine. Radiol Bras 52(6):387–396. https://doi.org/10.1590/0100-3984.2019.0049
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