Multiscale feature fusion for skin lesion classification

HIGHLIGHTS

  • who: Gang Wang and collaborators from the College of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, China have published the research work: Multiscale Feature Fusion for Skin Lesion Classification, in the Journal: BioMed Research International of 16/07/2022
  • what: To improve the ability of convolutional neural networks to accurately classify skin lesions the authors propose a multiscale feature fusion model for skin lesion classification. And then, the authors use the multireceptive field module to obtain multiscale pathological information (iii) A skin lesion classification system is designed, which provides accurate diagnostic information for experts . . .

     

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