首页|University of Groningen Reports Findings in Machine Learning (Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT)
University of Groningen Reports Findings in Machine Learning (Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT)
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NETL
NSTL
Springer Nature
New research on Machine Learning is the subject of a report. According to news reporting from Groningen, Netherlands, by NewsRx journalists, research stated, “Detecting ablation site recurrence (ASR) after thermal ablation remains a challenge for radiologists due to the similarity between tumor recurrence and post-ablative changes. Radiomic analysis and machine learning methods may show additional value in addressing this challenge.”
NETL
NSTL
Springer Nature
