Cardiovascular disease diagnosis using cross-domain transfer learning
While cardiovascular diseases (CVDs) are commonly diagnosed by cardiologists via inspecting electrocardiogram (ECG) waveforms, these decisions can be supported by a data-driven approach, which may automate this process. An automatic diagnostic approach often employs hand-crafted features extracted f...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2019
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