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V9

optim:Adam
Percrtual loss:False d:p:4:1 增加mse_loss * 100 Best: 195, 210, 235, 345<365> train in v6

V8

optim:Adam
Percrtual loss:True d:p:4:1 增加mse_loss * 50 Best: 255, 265, 270, 290, 300<305> train in v5

V7

optim:Adam
Percrtual loss:False d:p:4:1 增加mse_loss Best:365, 395, 420, 475, 495

V6

optim:Adam
Percrtual loss:True d:p:4:1 增加mse_loss Best: 315, 320*, 370, 400, 425

V5

optim:Adam
Percrtual loss:True d:p:4:1 Best:220, 250, 260, 265* 148.6753h

V3

optim:Adam
Percrtual loss:False
d:p:4:1 141.1220h Best:450, 445*, 320

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Try to reproduce 2020_TMI_SACNN Self-Attention Convolutional Neural Network for Low-Dose CT Denoising with Self-supervised Perceptual Loss Network

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