Presentation
4 October 2024 Deep learning in medical imaging and its clinical applications
Author Affiliations +
Abstract
Deep learning has emerged as a powerful tool in medical imaging, fundamentally transforming the field by automatically learning intricate patterns and features from large datasets. Its application spans various tasks such as image classification, segmentation, registration, reconstruction, and synthesis across diverse modalities including MRI, CT, PET/CT, PET/MRI, ultrasound, and X-ray.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofeng Yang "Deep learning in medical imaging and its clinical applications", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180G (4 October 2024); https://doi.org/10.1117/12.3027390
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KEYWORDS
Deep learning

Medical imaging

Biomedical applications

Medicine

Cancer detection

Clinical research

Diseases and disorders

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