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Table 8 Noise robustness validation of the proposed MHAGuideNet on the ADNI dataset

From: MHAGuideNet: a 3D pre-trained guidance model for Alzheimer’s Disease diagnosis using 2D multi-planar sMRI images

 

ACC

SEN

SPE

F1

AUC

0% Noise

0.9758

0.8863

0.9989

0.9398

0.9931

10% Noise

0.9645

0.8734

0.9901

0.9287

0.9856

20% Noise

0.9532

0.8605

0.9813

0.9176

0.9781

30% Noise

0.9418

0.8476

0.9725

0.9065

0.9707

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BMC Medical Imaging

ISSN: 1471-2342

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