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Titlebook: Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss; 12th International W Stefan Wesarg,Es

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發(fā)表于 2025-3-28 17:37:32 | 只看該作者
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發(fā)表于 2025-3-29 02:01:16 | 只看該作者
Description of the Research Regions,sets. Variability due to appearance of polyps from one center to another, difference in endoscopic instrument grades, and acquisition quality result in methods with good performance on in-distribution test data, and poor performance on out-of-distribution or underrepresented samples. Unfair models h
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發(fā)表于 2025-3-29 11:39:31 | 只看該作者
Brain Matters: Exploring Bias in?AI for?Neuroimaging Researchted with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equitable insights into neuroimaging research.
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發(fā)表于 2025-3-29 15:51:01 | 只看該作者
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發(fā)表于 2025-3-30 03:17:04 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/228006.jpg
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發(fā)表于 2025-3-30 06:11:51 | 只看該作者
Automated Hand Joint Classification of?Psoriatic Arthritis Patients Using Routinely Acquired Near Ino spatial dimensions and one temporal dimension, which visualizes the time dependent distribution of an administered color agent. In accordance with previous work, we hypothesize that the distribution process allows a joint-wise classification into . and ...In this work, we present the first approac
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