Titlebook: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales fo; 1st International Wo John S. H. Baxte

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Springer Tracts in Modern Physicsmproving the accuracy and fairness of connectome-based models, while largely overlooking trustworthiness, defined as the robustness of a model to data manipulations. In this work, we investigate the idea of trustworthiness through backdoor data poisoning—a technique that manipulates a portion of the

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Theory of Plane Ionization Waves,e of automated decision-making tools in medicine increases. However, bias mitigation strategies to achieve group fairness have appreciable shortcomings, which may pose ethical limitations in clinical settings. In this work, we study a well-defined case example of a deep learning-based medical image

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Richard A. Register,Robert K. Prud’hommeor and therefore omits meaningful and relevant user insights that can potentially be gathered about the context-of-use of a product. To mitigate this issue, we propose a user-centered design approach to developing surgical solutions. End-user involvement during product design has been linked to the

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Some Outstanding Solar Flare Events,nificant time and cost in terms of instruments. Also, practical diagnosis demands experienced and skilled dermatologists. These challenges show the impracticality of manual diagnosis over the increased rate of skin cancer patients and thus demand robust end-to-end computer-aided diagnosis (CAD) meth

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