Fca-net: adversarial learning for skin lesion segmentation based on multi-scale features and factorized channel attention

HIGHLIGHTS

• who: VIVEK KUMAR SINGH and collaborators from the of Computer Engineering and Mathematics, Rovira i Virgili University, Tarragona, Spain have published the research work: FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention, in the Journal: (JOURNAL)
• what: The authors propose an accurate skin lesion segmentation model based on a modified conditional generative adversarial network (cGAN). The authors propose a fully automated skin lesion segmentation model based on cGAN, which can learn more effective features for small-size skin lesions without using pre-processing (e_g, color space . . .
  

   

  

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