Department of Radiology Reports Findings in Machine Learning (Radiomics-based ma chine learning in the differentiation of benign and malignant bowel wall thicken ing radiomics in bowel wall thickening)

Robotics & Machine Learning Daily News2024，Issue(Apr.5) ：33-33.

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Department of Radiology Reports Findings in Machine Learning (Radiomics-based ma chine learning in the differentiation of benign and malignant bowel wall thicken ing radiomics in bowel wall thickening)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Rize, Turkey, by NewsR x editors, research stated, “To distinguish malignant and benignbowel wall thic kening (BWT) by using computed tomography (CT) texture features based on machinelearning (ML) models and to compare its success with the clinical model and com bined model. Onehundred twenty-two patients with BWT identified on contrast-enh anced abdominal CT and underwentcolonoscopy were included in this retrospective study.”

Key words

Rize/Turkey/Eurasia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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