Karolinska Institutet at Danderyd Hospital Reports Findings in Machine Learning (Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupe rvised machine learning of preoperative CT radiomics features for prognostic ... )

Robotics & Machine Learning Daily News2024，Issue(MAY.7) ：109-110.

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Karolinska Institutet at Danderyd Hospital Reports Findings in Machine Learning (Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupe rvised machine learning of preoperative CT radiomics features for prognostic ... )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Stockholm, Swe den, by NewsRx journalists, research stated, “This study aimed to investigate tu mor heterogeneity of colorectal liver metastases (CRLM) and stratify the patient s into different risk groups of prognoses following liver resection by applying an unsupervised radiomics machinelearning approach to preoperative CT images. T his retrospective study retrieved clinical information and CT images of 197 pati ents with CRLM from The Cancer Imaging Archive (TCIA) database.”

Key words

Stockholm/Sweden/Europe/Colorectal Re search/Cyborgs/Emerging Technologies/Gastroenterology/Health and Medicine/M achine Learning/Risk and Prevention

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2024

Robotics & Machine Learning Daily News

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