Computational Intelligence and Healthcare Informatics. Группа авторов

0.68 - - - - 0.74 0.63 0.69 [10] DualCheXNet - - - - - - 0.823 - - [2] CNN 0.9240 - - - - - - - - BPNN 0.8004 - - - - - - - - CpNN 0.8957 - - - - - - - - [8] U-Net 0.94 - - - - - - - - [47] Ensemble CNN 0.940 [51] STN based CNN 0.96 0.651 - - - - - 0.60 0.70 [46] Ensemble with AlexNet 0.862 0.925 [26] FHRNet - - - - - - 0.812 - - [20] AG-CNN - - - - - - 0.871 - - [28] Ensemble DCNN (for Cardiomegaly) 0.93 - 92.00 94.00 - - 0.97 - - Ensemble DCNN (for Tuberculosis) 0.90 - 92.00 88.00 - - 0.94 - - [41] MA-DCNN - - - - - - 0.794 - - [5] ChestNet 0.932 - - 97.13 85.85 - 0.984 - - [46] CNN Maryland (MC) dataset 0.79 - - - - - 0.811 - - Shenzhen (SZ) 0.844 - - - - - 0.900 - - Combined (CB) 0.862 - - -