Selection of optimal denoising-based regularization hyper-parameters for performance improvement in a sensor validation model
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9546-6
Abstract: Multilayered auto-associative neural architectures have widely been used in empirical sensor modeling. Typically, such empirical sensor models are used in sensor calibration and fault monitoring systems. However, simultaneous optimization of related performance metrics, i.e., auto-sensitivity,… read more here.
Keywords: based regularization; model; performance; sensor ... See more keywords
Label denoising based on Bayesian aggregation
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0474-y
Abstract: Label noise is a common problem that affects supervised learning and can produce misleading results. It is shown that only $$5\,\%$$5% of switched labels lead to a decrease of performances. Therefore, the true class of… read more here.
Keywords: label; bayesian aggregation; based bayesian; label denoising ... See more keywords
Denoising-Based Turbo Compressed Sensing
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DOI: 10.1109/access.2017.2697978
Abstract: Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general… read more here.
Keywords: turbo compressed; compressed sensing; turbo; turbo algorithm ... See more keywords
Self-Supervised Medical Image Denoising Based on WISTA-Net for Human Healthcare in Metaverse.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3278538
Abstract: Medical image processing plays an important role in the interaction of real world and metaverse for healthcare. Self-supervised denoising based on sparse coding methods, without any prerequisite on large-scale training samples, has been attracting extensive… read more here.
Keywords: wista net; denoising based; self supervised; medical image ... See more keywords
Impact of Denoising on Deep-Learning-Based Automatic Segmentation Framework for Breast Cancer Radiotherapy Planning
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DOI: 10.3390/cancers14153581
Abstract: Simple Summary We investigated the contouring data of organs at risk from 40 patients with breast cancer who underwent radiotherapy. The performance of denoising-based auto-segmentation was compared with manual segmentation and conventional deep-learning-based auto-segmentation without… read more here.
Keywords: denoising based; segmentation; auto segmentation; deep learning ... See more keywords