An automatic and efficient technique for tumor location identification and classification through breast MR images

作者：

Highlights：

• The proposed work efficiently classifies the breast tissues into normal & abnormal.

• Nipple & mid-sternum point selection makes the breast MR image rotation invariant.

• Primary location guidelines for axial plane determine the exact tumor location.

• This work can be used as initial screening or second opinion for the radiologists.

摘要

•The proposed work efficiently classifies the breast tissues into normal & abnormal.•Nipple & mid-sternum point selection makes the breast MR image rotation invariant.•Primary location guidelines for axial plane determine the exact tumor location.•This work can be used as initial screening or second opinion for the radiologists.

论文关键词：De-noising,Breast Tumor,Tumor Segmentation,Tumor Classification,Support Vector Machine

论文评审过程：Received 23 January 2020, Revised 16 July 2020, Accepted 7 July 2021, Available online 12 July 2021, Version of Record 3 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115580