换一批Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion.
第一单位：
College of Informatics and Computing Sciences, Batangas State University, Philippines.
作者：
关键词
AP, Average PoolingAUC, Area Under the CurveBN, Batch NormalizationBS, Batch SizeCAD, Computer-Aided DiagnosisCCE, Categorical Cross-EntropyCNN, Convolutional Neural NetworksCT, Computer TomographyCV, Computer VisionCXR, Chest X-RaysChest x-raysComputer-aided diagnosisCovid-19DCNN, Deep Convolutional Neural NetworksDL, Deep LearningDR, Dropout RateDeep learningDensely connected neural networksGAP, Global Average PoolingGRAD-CAM, Gradient-Weighted Class Activation MapsJPG, Joint Photographic GroupLR, Learning RateMP, Max-PoolingP-R, Precision-RecallPEPX, Projection-Expansion-Projection-ExtensionROC, Receiver Operating CharacteristicReLU, Rectified Linear UnitSGD, Stochastic Gradient DescentWHO, World Health OrganizationrRT-PCR, real-time Reverse-Transcription Polymerase Chain Reaction
DOI
10.1016/j.bspc.2021.102583
PMID
33828610
发布时间
2024-09-08
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