Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow

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Deep kNN for Medical Image Classificationel training may be limited for part of diseases, which would cause the widely adopted deep learning models not generalizing well. One alternative simple approach to small class prediction is the traditional k-nearest neighbor (kNN). However, due to the non-parametric characteristics of kNN, it is di

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Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoraing unique potential to foster deep semantic representation learning and yield semantically more powerful models for different medical applications. But how exactly such strong yet free semantics embedded in medical images can be harnessed for self-supervised learning remains largely unexplored. To

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DECAPS: Detail-Oriented Capsule Networks state-of-the-art accuracies on large-scale high-dimensional datasets. We propose a Detail-Oriented Capsule Network (DECAPS) that combines the strength of CapsNets with several novel techniques to boost its classification accuracies. First, DECAPS uses an Inverted Dynamic Routing (IDR) mechanism to

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Federated Simulation for Medical Imagingknowledge. Exploiting a larger pool of labeled data available across multiple centers, such as in federated learning, has also seen limited success since current deep learning approaches do not generalize well to images acquired with scanners from different manufacturers. We aim to address these pro

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Continual Learning of New Diseases with Dual Distillation and Ensemble Strategygan or tissue. Since it is often difficult to collect data of all diseases, it would be desirable if an intelligent system can initially diagnose a few diseases, and then continually learn to diagnose more and more diseases with coming data of these new classes in the future. However, current intell

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im Detail den Weg dorthin, das ?Wie“, in den Vordergrund. Der Autor verfolgt dabei einen ganzheitlichen, prozessorientierten Ansatz der Organisationsentwicklung..In dem Buch wird der Weg von einer funktionsorientierten hin zu einer prozessorientierten Organisation detailliert und anhand von vielen

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Stellt die Modelle, Methoden, Vorgehensweisen und Tools umfaWie Unternehmen die Herausforderungen, mit denen sie konfrontiert sind, erfolgreich managen k?nnen, beschreiben unz?hlige Ratgeber..Dieses Buch stellt im Detail den Weg dorthin, das ?Wie“, in den Vordergrund. Der Autor verfolgt dabei einen