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EfficientNetV2_LVEF_under_50

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DeepECG EfficientNet V2 Fine Tuned to detect LVEF under 50 % model

  • model_name: efficientnetv2_lvef_under_50
  • Utilizes the EfficientNetV2 architecture for processing ECG signals.
  • Pre-trained model is loaded from a specified directory, and the model is used to process ECG signal tensors.
  • The model takes an input signal tensor and outputs the logits for the binary classification of LVEF < 50%.
  • Model compiled with JIT,

To load use

import torch
model = torch.jit.load(model_path)
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