HIGHLIGHTS
- who: Yazan Al-Issa from the DepartmentYarmouk University have published the paper: A lightweight hybrid deep learning system for cardiac valvular disease classification, in the Journal: Scientific Reports Scientific Reports
- what: The aim of this research is to develop a new deep learning model based on the CNN-LSTM architecture to reliably distinguish heart sounds (binary and multi-class classifications). The aim of this section is to explore what makes the model light and different from other models. This study has several advantages, including the potential use of cardiac PCG recordings to aid in the . . .
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