Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism

@article{JigneshChowdary2021AutomatedSL,
  title={Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism},
  author={G Jignesh Chowdary and Ganesh V S N Durga Yathisha and G. Suganya and M Premalatha},
  journal={2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)},
  year={2021},
  pages={1763-1771}
}
Segmenting skin lesions from dermoscopic images is essential for diagnosing skin cancer. But the automatic segmentation of these lesions is complicated due to the poor contrast between the background and the lesion, image artifacts, and unclear lesion boundaries. In this work, we present a deep learning model for the segmentation of skin lesions from dermoscopic images. To deal with the challenges of skin lesion characteristics, we designed a multi-scale feature extraction module for extracting… 

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