Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07056-5
Abstract: To investigate the efficacy of contrast-enhanced computed tomography (CECT)–based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning. In this single-center retrospective study, data collected from 297 consecutive subjects… read more here.
Keywords: machine; machine learning; radiomics signatures; via machine ... See more keywords
Gelation properties of various long chain amidoamines: Prediction of solvent gelation via machine learning using Hansen solubility parameters
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2020.112587
Abstract: Abstract Four new amphiphilic long chain amidoamine derivatives displaying different structure variations are synthesized and tested in 27 liquids and compared to the study of two similar molecules already reported in the literature. In many… read more here.
Keywords: chain; gelation; machine learning; via machine ... See more keywords