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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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

DOI retrieved: December 2, 2024

Additional Info

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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/