https://www.selleckchem.com/pr....oducts/pim447-lgh447
tecting multiple types of error, radiomics-based IMRT QA was shown to be a promising approach for detecting the MLC modeling error.This paper discusses the inclusion of ideas from mindfulness, embodiment, and associated brain research in poststructural family therapies. Connecting research and practice across diverse fields is presented as enriching therapeutic work, increasing clinical effectiveness, and broadening options for families seeking our assistance. Ways of incorporating mindfulness and embodiment are described and offe

https://www.selleckchem.com/pr....oducts/2-Methoxyestr
To propose the prediction model for degree of differentiation for locally advanced esophageal cancer patients from the planning CT image by radiomics analysis with machine learning. Data of 104 patients with esophagus cancer, who underwent chemoradiotherapy followed by surgery at the Hiroshima University hospital from 2003 to 2016 were analyzed. The treatment outcomes of these tumors were known prior to the study. The data were split into 3 sets 57/16 tumors for the training/validation and 31 tumors for model testing. T