Radiomics and deep learning in lung cancer
https://doi.org/10.1007/s00066-020-01625-9
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https://doi.org/10.1007/s00066-020-01625-9
Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A huge amount of high dimensional and complex structured data has made it no longer applicable for conventional machine learning algorithms. Fo...
https://doi.org/10.1093/bfgp/ely030
Several studies have shown that the network traffic that is generated by a visit to a website over Tor reveals information specific to the website through the timing and sizes of network packets.By capturing traffic traces between users and...
https://doi.org/10.14722/ndss.2018.23105
https://doi.org/10.1007/978-3-642-35289-8_34
10.1371/journal.pone.0361522
PMC: PMC13739150
10.1177/02637758251387040
PMC: PMC13739088
10.1371/journal.pbio.3004072
PMC: PMC13739097
10.1371/journal.pone.0334468
PMC: PMC13739181
10.1371/journal.pone.0362006
PMC: PMC13739183
10.1099/mic.0.001786
PMC: PMC13739062
10.1016/j.ccell.2026.10.004
PMC: PMC13739064
10.1002/clc.70518
PMC: PMC13739130
10.1371/journal.pdig.0001817
PMC: PMC13739138
10.1371/journal.pone.0362271
PMC: PMC13739111
10.7759/cureus.117564
PMC: PMC13739469
Automatic sleep staging is fundamental for diagnosing sleep disorders and enabling long-term sleep monitoring with wearable devices. Although Deep Learning has significantly improved classification performance, balancing accuracy with compu...
10.3390/app16168164
Abstract The application of the $$\Phi$$ -OTDR (Phase-Optical Time Domain Reflectometry) system in real-time monitoring of power grid infrastructure has been proven effective in identifying and classifying various anomalies, such as digging...
10.1038/s41598-025-29691-y
Abstract Background This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals. Methods Two hundred and ninety-five images of optic neuropathies, 295 images...
10.1186/s12886-019-1184-0
Abstract Background Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional s...
10.1186/s12888-025-07196-2
The healthcare sector is undergoing rapid transformation driven by advances in artificial intelligence and machine learning, with quantum computing emerging as the next major breakthrough. This paper presents a comparative analysis of class...
10.21608/ijicis.2026.442636.1439