Web: http://arxiv.org/abs/2201.11440

Jan. 28, 2022, 2:11 a.m. | Dominik Müller, Iñaki Soto-Rey, Frank Kramer

cs.LG updates on arXiv.org arxiv.org

Novel and high-performance medical image classification pipelines are heavily
utilizing ensemble learning strategies. The idea of ensemble learning is to
assemble diverse models or multiple predictions and, thus, boost prediction
performance. However, it is still an open question to what extent as well as
which ensemble learning strategies are beneficial in deep learning based
medical image classification pipelines. In this work, we proposed a
reproducible medical image classification pipeline for analyzing the
performance impact of the following ensemble learning techniques: …

analysis arxiv classification convolutional neural networks cv deep ensemble learning networks neural neural networks

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