HIGHLIGHTS
- who: Xiao Chen from the China Medical University, China have published the Article: Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning, in the Journal: (JOURNAL)
- what: The aim of this study is to implement radiomics and deep learning to build diagnostic models for patients presenting with architectural distortion on DBT images. The authors showed that the radiomics model developed using manually outlined ROI could achieve good accuracy. All the patients in the study had confirmed pathological results, with 175/298 (59%) malignant, and 123/289 (41%) architectural distortion includes thin . . .
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