Titlebook: Data Augmentation, Labelling, and Imperfections; Third MICCAI Worksho Yuan Xue,Chen Chen,Yihao Liu Conference proceedings 2024 The Editor(s

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,Active Learning Strategies on?a?Real-World Thyroid Ultrasound Dataset,rediction of nodule presence on a clinical ultrasound dataset. The results on this as well as two other medical image datasets suggest that even successful active learning strategies have limited clinical significance in terms of reducing annotation burden.

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A Realistic Collimated X-Ray Image Simulation Pipeline,itative comparison against real collimator shadows. Furthermore, it is demonstrated that utilizing simulated data within our deep learning framework not only serves as a suitable substitute for actual collimators but also enhances the generalization performance when applied to real-world data.

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Conference proceedings 202423), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International..Conference on Medical Image Computing and Computer Assisted Intervention..(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions...The conferen

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Conference proceedings 2024ce fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis..

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0302-9743 e conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis..978-3-031-58170-0978-3-031-58171-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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