Correction: Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images

Compared with the original results, the classification accuracy based on whole image decreases from 83.08% to 69.88%, and that based on cell segmentation also decreases from 90.77% to 84.34%. [...]the classification accuracy of these block images also reduces slightly, from 79.95% to 74.63% using lo...

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Veröffentlicht in:	PloS one 2020-07, Vol.15 (7), p.e0236463-e0236463
Hauptverfasser:	Li, Jiaqian, Tseng, Kuo-Kun, Hsieh, Zu Yi, Yang, Ching Wen, Huang, Huang-Nan
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Data reduction
Online-Zugang:	Volltext
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