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abnormal heart sound classification and model interpretability: a transfer learning approach with deep learning  (Abbott Laboratories)

 
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    Abbott Laboratories abnormal heart sound classification and model interpretability: a transfer learning approach with deep learning
    Abnormal Heart Sound Classification And Model Interpretability: A Transfer Learning Approach With Deep Learning, supplied by Abbott Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/deep+transfer+learning+model/abnormal+heart+sound+classification+and+model+interpretability++a+transfer+learning+approach+with+deep+learning/pm40564375-641-15-2
    Average 90 stars, based on 1 article reviews
    abnormal heart sound classification and model interpretability: a transfer learning approach with deep learning - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence.
    Article Snippet: Marocchi, M.; Abbott, L.; Rong, Y.; Nordholm, S.; Dwivedi, G. Abnormal heart sound classification and model interpretability: A transfer learning approach with deep learning.



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    The experimental result comparison of different models.

    Journal: Frontiers in Public Health

    Article Title: Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods

    doi: 10.3389/fpubh.2023.1044525

    Figure Lengend Snippet: The experimental result comparison of different models.

    Article Snippet: Then, in order to select an appropriate object detection algorithm, deep transfer learning models of YOLOv3, YOLOv5, and PP-YOLOv2 were created and trained on the Baidu PaddlePaddle framework.

    Techniques: Comparison