Table Info

Table 2.

Comparative prediction results on the ISIC2018

Dataset	Models	Year	DSC↑	SE↑	SP↑	ACC↑
ISIC2018	U-Net^*	2015	0.8851	0.8735	0.9744	0.9539
	SCR-Net^*	2021	0.8886	0.8892	0.9714	0.9547
	C²SDG^*	2021	0.8806	0.8970	0.9643	0.9506
	ATTENTION SWIN U-NET^*	2022	0.8540	0.8057	0.9826	0.9480
	MALUNet^*	2022	0.8931	0.8890	0.9725	0.9548
	UNeXt-S^#	2022	0.8910	0.8577	0.9818	0.9555
	EGE-UNet^*	2023	0.8819	0.9009	0.9638	0.9510
	VM-UNet^*	2024	0.8891	0.8809	0.9743	0.9554
	VM-UNet v2^*	2024	0.8902	0.8959	0.9702	0.9551
	LightM-UNet^*	2024	0.8898	0.8829	0.9765	0.9555
	UltraLight VM-UNet^*	2024	0.8940	0.8680	0.9781	0.9558
	UltraLight VM-UNet^#	2024	0.8905	0.8724	0.9766	0.9545
	UCM-Net (Baseline)	2024	0.9060	0.9041	0.9753	0.9602
	MUCM-Net (1-patch)	2024	0.9111	0.8953	0.9811	0.9629
	MUCM-Net (2-patch)	2024	0.9040	0.9151	0.9706	0.9588
	MUCM-Net (4-patch)	2024	0.9058	0.8752	0.9846	0.9614
	MUCM-Net (8-patch)	2024	0.9095	0.9046	0.9772	0.9618

^* the results cited from UltraLight VM-Net; ^# the results tested by us. ISIC: International Skin Imaging Collaboration; DSC: Dice Similarity Coefficient; SE: sensitivity; SP: specificity; ACC: accuracy. ↑: the higher the value, the better the performance

Supplementary materials

The supplementary figures for this article are available at: https://www.explorationpub.com/uploads/Article/file/1001250_sup_1.pdf.

Declarations

Author contributions

CY: Conceptualization, Investigation, Writing—original draft, Writing—review & editing. DZ: Validation, Writing—review & editing. SSA: Validation, Writing—review & editing, Supervision. All authors read and approved the submitted version.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publication

Not applicable.

Availability of data and materials

The datasets analyzed for this study can be found in ISIC17 Dataset: https://challenge.isic-archive.com/data/#2017; ISIC18 Dataset: https://challenge.isic-archive.com/data/#2018; Code Repo: https://github.com/chunyuyuan/MUCM-Net.

Funding

Not applicable.

Copyright

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