Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2021.665891
Abstract: Objectives To explore the MRI-based differential diagnosis of deep learning with data enhancement for cerebral glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and tumefactive demyelinating lesion (TDL). Materials and Methods This retrospective study analyzed… read more here.
Keywords: cerebral glioblastoma; deep learning; enhancement; data enhancement ... See more keywords
Data-Enhancement Strategies in Weather-Related Health Studies
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DOI: 10.3390/ijerph19020906
Abstract: Although the relationship between weather and health is widely studied, there are still gaps in this knowledge. The present paper proposes data transformation as a way to address these gaps and discusses four different strategies… read more here.
Keywords: health; relationship; enhancement strategies; temperature ... See more keywords
Efficient Classification of Environmental Sounds through Multiple Features Aggregation and Data Enhancement Techniques for Spectrogram Images
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12111822
Abstract: Over the past few years, the study of environmental sound classification (ESC) has become very popular due to the intricate nature of environmental sounds. This paper reports our study on employing various acoustic features aggregation… read more here.
Keywords: classification; features aggregation; data enhancement; environmental sounds ... See more keywords