Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI

作者：

Highlights：

• We proposed a Nakagami-Fuzzy imaging framework for medical image segmentation

• This paper would be the first application of Nakagami-Fuzzy protocol to MRI images

• We enhanced images by Nakagami and segmented lesions by modified fuzzy 2-means

• We achieved 92.61% dice score for the main clinical experiment we conducted

• Dice scores are computed as 91.88%/89.25% for BraTS 2012/2020 dataset experiments

摘要

•We proposed a Nakagami-Fuzzy imaging framework for medical image segmentation•This paper would be the first application of Nakagami-Fuzzy protocol to MRI images•We enhanced images by Nakagami and segmented lesions by modified fuzzy 2-means•We achieved 92.61% dice score for the main clinical experiment we conducted•Dice scores are computed as 91.88%/89.25% for BraTS 2012/2020 dataset experiments

论文关键词：Nakagami imaging,Fuzzy c-means,Lesion segmentation,MRI,BraTS

论文评审过程：Received 1 May 2021, Revised 3 September 2021, Accepted 27 March 2022, Available online 29 March 2022, Version of Record 11 April 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108675