Frcnet: feature re fi ning and context-guided network for ef cient polyp segmentation

HIGHLIGHTS

• who: METHODS et al. from the School of Automobile and Transportation Engineering, Shenzhen Polytechnic, Shenzhen, China, School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China, Department of Mathematics, School of have published the paper: FRCNet: Feature Re fi ning and Context-Guided Network for Ef cient Polyp Segmentation, in the Journal: (JOURNAL)
• what: To yield satisfactory segmentation results meanwhile maintain real-time performance, in this study, the authors propose the https://datasets.simula.no/kvasir-seg/ https://polyp.grand-challenge.org/CVCClinicDB/ June 2022 | Volume 10 | Article 799541 FRCNet feature . . .
  

   

  

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