Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods
- Indbinding:
- Paperback
- Sideantal:
- 302
- Udgivet:
- 5. maj 2023
- Størrelse:
- 192x18x235 mm.
- Vægt:
- 630 g.
- 2-3 uger.
- 11. december 2024
På lager
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.
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Bogen Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Lægevidenskab og sygepleje > Medicinske discipliner > Billeddiagnostik
- Lægevidenskab og sygepleje > Sygepleje og paramedicinske fag > Biomedicinsk teknik
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
- Databehandling og informationsteknologi > Informatik > Signalbehandling
- Databehandling og informationsteknologi > Informatik > Billedbehandling
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