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Data harvesting vs data farming: A study of the importance of variation vs sample size in deep learning-based auto-segmentation for breast cancer patients

Autor: Buhl, ES, Maae, E, Matthiessen, LW, Nielsen, MH, Maraldo, M, Møller, M, Elleberg, S, Al-Rawi, SAJ, Offersen, BV, Korreman, SS

The aim of this study was to investigate the difference in output, when training a model in three different scenarios: a large clinical delineated data set (with 700/78 patients for training/testing, from the Danish Breast Cancer Group (DBCG) RT Nati

Externí odkaz: http://arxiv.org/abs/2404.03369

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Metallic Hydrogen: Experiments on Metastability

Autor: Ferreira, W., Moller, M., Linsuain, K., Song, J., Salamat, A., Dias, R., Silvera, I. F.

Molecular hydrogen was pressurized in a diamond anvil cell at temperatures between 5 and 83 K. At a sufficiently high pressure, estimated to be between 477 to 491 GPa, hydrogen became metallic, determined by its reflectance in the near infrared and f

Externí odkaz: http://arxiv.org/abs/2209.05571

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Increasing loudness in audio signals: a perceptually motivated approach to preserve audio quality

Autor: Jeannerot, A., de Koeijer, N., Martínez-Nuevo, P., Møller, M. B., Dyreby, J., Prandoni, P.

We present a method to maintain the subjective perception of volume of audio signals and, at the same time, reduce their absolute peak value. We focus on achieving this without compromising the perceived audio quality. This is specially useful, for e

Externí odkaz: http://arxiv.org/abs/2202.08183

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