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Titlebook: Interpretable and Annotation-Efficient Learning for Medical Image Computing; Third International Jaime Cardoso,Hien Van Nguyen,Samaneh Abb

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Explainable Disease Classification via Weakly-Supervised Segmentationmacular edema (DME) from OCT slices. Results of testing on a large public dataset show that with just a third of images with roughly segmented fluid filled regions, the classification accuracy is on par with state of the art methods while providing a good explanation in the form of anatomically accu
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COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Ra. Experiments on two publicly available datasets show that the proposed model can be trained using one dataset and still be applied to data from another source for zero-shot diagnosis of chest x-rays.
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Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting forst-Time Augmentation (TTA) on the second-stage localization network. Moreover, we propose a novel uncertainty estimation metric called maximum activation dispersion (MAD) to estimate the image-wise uncertainty for localization tasks. Our results show that the proposed method achieved more robust loc
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0302-9743 ices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of978-3-030-61165-1978-3-030-61166-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Colin B. Hansen,Vishwesh Nath,Riqiang Gao,Camilo Bermudez,Yuankai Huo,Kim L. Sandler,Pierre P. Massiite stellt. . Der Text zielt auf ein Verständnis der Mathematik als Methode ab, erklärt die mathematische Sprache, allgemeine Prinzipien und Konventionen und macht das oft Implizite und Unausgesprochene offizie978-3-662-56805-7978-3-662-56806-4
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