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  1. No Access

    Chapter and Conference Paper

    SRFAMap: A Method for Map** Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps

    Many explainable AI methods for generating medical image saliency maps exist, but most are devoted to working on trained neural network-based models. At the same time, many medical image classification neural ...

    Oleksandr Davydko, Vladimir Pavlov… in Explainable Artificial Intelligence (2024)

  2. No Access

    Chapter and Conference Paper

    Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method

    Global texture characteristics are powerful tools for solving medical image classification tasks. There are many such characteristics like Grey-Level Co-occurrence Matrices, Grey-Level Run-Length Matrices, Gre...

    Oleksandr Davydko, Vladimir Pavlov, Luca Longo in Explainable Artificial Intelligence (2023)