首页|Study Results from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Study On Microwave Ablation Temperature Prediction Model Based On Gray scale Ultrasound Texture and Machine Learning)
Study Results from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Study On Microwave Ablation Temperature Prediction Model Based On Gray scale Ultrasound Texture and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Suzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.Methods Experiments were conducted on 83 fresh ex vivo porcine liver tissues at two ablation powers of 15 W and 20 W. Ultrasound grayscale images and temperature data from multiple sampling points were collected. The machine learning method of random forests was used to train the selected texture features, obtaining temperature prediction models for sampling points and the entire ultrasound imaging area.”
SuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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