Feb 14, 2021 · Figure 2 shows the proposed encoder-decoder architecture for skin lesion segmentation. The encoder is a downsampling path used to minimize the ...
To address these issues, we present encoder-decoder–based CNN for skin lesion segmentation, based on the widely used UNet architecture. We exploit the benefit ...
Jan 6, 2024 · To address these issues, we present encoder-decoder based CNN for skin lesion segmentation, based on the widely used UNet architecture. We ...
proposed a dense encoding-decoding structure to segment the skin lesion. Baiying Lei et al. [24] proposed a combination of encoding-decoding structure and ...
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Feb 14, 2021 · To address these issues, we present encoder-decoder–based CNN for skin lesion segmentation, based on the widely used UNet architecture. We ...
FCN is constructed by replacing the fully connected layers with a series of deconvolution layers where the size of the input image could vary and it no longer ...
Lightweight encoder-decoder model for automatic skin lesion ...
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The proposed model consists of a decoupled encoder and decoder module, which were combined in an end-to-end semantic segmentation architecture based on U-Net.
Aug 18, 2023 · This architecture captures dense features to generate ... Generally, segmentation frameworks consist of encoder-decoder-based architecture.
Sep 12, 2023 · The system [8] combines Retina-DeepLab, graph-based techniques, and Mask R-CNN [60] for the segmenting of skin lesions. A dense encoder–decoder ...
In this paper, we propose a novel feature adaptive transformer network based on the classical encoder-decoder architecture, named FAT-Net, which integrates an ...