Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data
Multiparameter flow cytometry data is visually inspected by expert personnel as part of standard clinical disease diagnosis practice. This is a demanding and costly process, and recent research has demonstrated that it is possible to utilize artificial intelligence (AI) algorithms to assist in the i...
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| Vydané v: | Cytometry. Part B, Clinical cytometry Ročník 106; číslo 4; s. 282 - 293 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Hoboken, USA
John Wiley & Sons, Inc
01.07.2024
Wiley Subscription Services, Inc |
| Predmet: | |
| ISSN: | 1552-4949, 1552-4957, 1552-4957 |
| On-line prístup: | Získať plný text |
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