HIGHLIGHTS
- who: Guillaume Fradet from the Capgemini Engineering, Paris, France have published the research: Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning, in the Journal: (JOURNAL)
- what: The aim of this study is to compare the performances of MRI radiomic machine learning (ML) analysis with deep learning (DL) to predict malignancy in patients with lipomas oratypical lipomatous tumours. The authors have shown that ML from MRI radiomics could be relevant to classify patient with lipoma or ALTs and therefore to potentially reduce the number of biopsies . . .
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