MFSNet: A multi focus segmentation network for skin lesion segmentation

Pattern Recognition(2022)

引用 24|浏览24
暂无评分
摘要
•We propose a deep learning model called MFSNet (Multi-Focus Segmentation Network).•MFSNet uses differently scaled feature maps for skin lesion segmentation.•It has Boundary Attention, Reverse Attention and Parallel Partial Decoder modules.•It uses Res2Net as backbone which is a recently proposed CNN model.•It outperforms past methods when evaluated on PH2, ISIC2017 and HAM10000 datasets.
更多
查看译文
关键词
Lesion Segmentation,Deep Learning,Parallel Partial Decoder,Attention Modules,Skin Melanoma
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要