A novel image-based separable-Unet network with stochastic weights averaging was proposed. •. The proposed system in this paper exhibits stronger segmentation ...
Method: A skin lesion segmentation (SLS) method based on the separable-Unet with stochastic weight averaging is proposed in this work. Specifically, the ...
Efficient Skin Lesion Segmentation Using Separable-Unet with ...
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Conclusions We concluded that using the separable convolutional block and U-Net architectures with stochastic weight averaging strategy could enable to obtain ...
This paper proposes a fully convolutional segmentation network based on hybrid attention (HAF-Net) for skin lesion segmentation that integrates the ...
4 days ago · Sun, D. Zhang, and G. Coppola,. “Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging,” Computer methods and ...
4 days ago · We evaluated the efficacy of TESL-Net in three commonly used datasets (ISIC 2016, ISIC 2017, and ISIC 2018) for the segmentation of skin lesions ...
Aug 18, 2023 · et al. Efficient skin lesion segmentation using separable-unet with stochastic weight averaging. Comput. Methods Programs Biomed. 178, 289–301.
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Jul 2, 2024 · In this paper, we present an efficient lightweight attention network (ELANet) for skin lesion segmentation. ... Particularly, the semantic and ...
A new model that integrates two architectures, the U-Net and the VGG19, is presented that achieved satisfactory results compared to the state-of-the-art in ...
[15] proposed a separable-Unet with stochastic weight averaging ... Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.