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Signal Processing in Medicine and Biology
Applications of Deep Learning to the Health Sciences
Englisch
222 b
Bis zu 30 Tage Rückgaberecht
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Signal Processing in Medicine and Biology: Applications of Deep Learning to the Health Sciences presents expanded versions of selected papers from the 2023 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) at Temple University. The symposium presents multidisciplinary research across a wide range of topics in the life sciences. The Neural Engineering Data Consortium hosts the symposium to promote machine learning and big data applications in bioengineering.
Topics covered include:
· Signal and image analysis (e.g., EEG, ECG, MRI);
· Machine learning, data mining, and classification;
· Big data resources and applications;
· Applications of quantum computing;
· Digital pathology;
· &
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