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SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

The proposed model, MobileGAN, is a lightweight and efficient GAN model for skin lesion segmentation. It combines 1-D kernel factorized networks, position and channel attention, and multiscale aggregation mechanisms with a GAN model.

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Cite this as

Md. Mostafa Kamal Sarkar, Hatem A.Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser (2024). Dataset: SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. https://doi.org/10.57702/h7y6llwu

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.1907.00856
Author	Md. Mostafa Kamal Sarkar
More Authors	Hatem A.Rashwan Farhan Akram Vivek Kumar Singh Syeda Furruka Banu Forhad U. H. Chowdhury Kabir Ahmed Choudhury Sylvie Chambon Petia Radeva Domenec Puig Mohamed Abdel-Nasser
Homepage	https://challenge.isic-archive.com/