GitHub - dong-ma-zi/GlandSegBenchmarks: Baseline methods for gland segmantation

Methods	Backbone	Sup	CRAG				GlaS				GlaS-A			GlaS_B
Methods	Backbone	Sup	ObjF1	ObjDice	Dice	HD	ObjF1	ObjDice	Dice	HD	ObjF1	ObjDice	HD	ObjF1	ObjDice	HD
DCAN(report)	DeepLab-v1(VGG)	FullSup	0.736	0.794		218.76	0.856	0.850		94.51
DCAN	DeepLab-v1(VGG)	FullSup	0.754	0.806		253.93	0.827	0.853		87.85
MILD-Net(report)	CNN(self-design)	FullSup	0.825	0.875		160.14	0.879	0.874		73.715	0.914	0.913	41.54	0.844	0.836	105.89
MILD-Net	CNN(self-design)	FullSup					0.807	0.843		86.423
MedT	Transformer(self-design)	FullSup
SwinUnet	Transformer(swinTransformer)	FullSup	0.797	0.845	0.935	184.35	0.824	0.867	0.924	72.86
SwinUnet-Semi-round1	Transformer(swinTransformer)	SemiSup-10%	0.579	0.684	0.857	359.76	0.781	0.804	0.891	118.93
SwinUnet-Semi-round2	Transformer(swinTransformer)	SemiSup-10%	0.678	0.765	0.885	265.98	0.827	0.843	0.896	83.08
I2CS-B1(report)	EfficientNet-B1	FullSup	0.834	0.877		121.42	0.860	0.881		61.78
I2CS-B1	EfficientNet-B1	FullSup	0.764	0.851		165.74	0.812	0.867		69.89

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
.idea		.idea
CDWS-MIL		CDWS-MIL
DCAN		DCAN
FullNet-varCE		FullNet-varCE
ICS		ICS
MILD-Net		MILD-Net
MedT		MedT
Medical-SAM-Adapter		Medical-SAM-Adapter
OEEM		OEEM
SA-MIL		SA-MIL
SAM		SAM
SamDSK_WZH		SamDSK_WZH
cerberus		cerberus
.gitignore		.gitignore
readme.md		readme.md

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