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GBCA / trainedmodels /Model.json

Kalpokoch

Claude Opus 5.5

feat: switch model from DenseNet121-CBAM to ConvNeXt-Tiny + CBAM + MSAM

bfd7148 21 days ago

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{
  "arch": "ConvNeXtTinyCBAMMSAM",
  "checkpoint": "ConvNeXtTiny_CBAM_MSAM_fold3_best.pth",
  "best_threshold": 0.62,
  "global_mean": 0.456,
  "global_std": 0.224,
  "image_size": 512,
  "input_channels": 1,
  "dropout": 0.5,
  "val_f1": 0.9007,
  "test_auc": 0.9384,
  "cbam_channels": 768,
  "cbam_reduction": 16,
  "cbam_kernel_size": 7,
  "msam_kernel_size": 7,
  "msam_dilations": [1, 2, 4]
}

	{
	"arch": "ConvNeXtTinyCBAMMSAM",
	"checkpoint": "ConvNeXtTiny_CBAM_MSAM_fold3_best.pth",
	"best_threshold": 0.62,
	"global_mean": 0.456,
	"global_std": 0.224,
	"image_size": 512,
	"input_channels": 1,
	"dropout": 0.5,
	"val_f1": 0.9007,
	"test_auc": 0.9384,
	"cbam_channels": 768,
	"cbam_reduction": 16,
	"cbam_kernel_size": 7,
	"msam_kernel_size": 7,
	"msam_dilations": [1, 2, 4]
	}