Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019
DOI: 10.5220/0007567901120122
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Application of Artificial Intelligence in Microwave Radiometry (MWR)

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Cited by 17 publications
(18 citation statements)
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“…Pairs are meant to be significant if p < 0.05 in Tukey test. These assessments were performed using Python script [ 27 , 28 , 29 ].…”
Section: Resultsmentioning
confidence: 99%
“…Pairs are meant to be significant if p < 0.05 in Tukey test. These assessments were performed using Python script [ 27 , 28 , 29 ].…”
Section: Resultsmentioning
confidence: 99%
“…Details of the process are beyond this paper and will be described and published separately. See [28, 29] for more details.…”
Section: Resultsmentioning
confidence: 99%
“…It could be used for full body scan, including head (brain), wrist (cardiovascular), lung (respiratory), and guts (GI) to assess organ’s damage and eliminate risks in the COVID-19 rehabilitation stage. In the future, to improve the sensitivity and specificity it would be beneficial to use the same Deep Neural Network (DNN) we have earlier applied for breast cancer diagnostics [28,29], but more data are required.…”
Section: Discussionmentioning
confidence: 99%
“…Currently, artificial intelligence systems are developing rapidly. They help interpret results of measurements of tissue self-radiation in the microwave range [38]. Their introduction into medical practice in combination with miniaturization of equipment will make it possible to bring microwave radiometry to a qualitatively new level.…”
Section: Discussion Of the Results Obtained From Experimental Studiesmentioning
confidence: 99%