Description
| Product ID: | 9780323961295 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | NL |
| Series: | Intelligent Data-Centric Systems |
| Title: | Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods |
| Authors: | Author: Kemal Polat, Saban OEzturk |
| Page Count: | 302 |
| Subjects: | Medical imaging, Medical imaging, Biomedical engineering, Artificial intelligence, Digital signal processing (DSP), Image processing, Biomedical engineering, Artificial intelligence, Signal processing, Image processing |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Academic Press Inc |
| Publisher Name: | Elsevier Science & Technology |
| Country of Publication: | GB |
| Publishing Date: | 2023-05-05 |
