Robotics & Machine Learning Daily News2024,Issue(Oct.2) :8-8.

Department of Vascular Surgery Reports Findings in Artificial Intelligence (Vasc ular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence)

Robotics & Machine Learning Daily News2024,Issue(Oct.2) :8-8.

Department of Vascular Surgery Reports Findings in Artificial Intelligence (Vasc ular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Antib es, France, by NewsRx correspondents, research stated, “Liver vessel segmentatio n from routinely performed medical imaging is a useful tool for diagnosis, treat ment planning and delivery, and prognosis evaluation for many diseases, particul arly liver cancer. A precise representation of liver anatomy is crucial to defin e the extent of the disease and, when suitable, the consequent resective or abla tive procedure, in order to guarantee a radical treatment without sacrificing an excessive volume of healthy liver.” Our news editors obtained a quote from the research from the Department of Vascu lar Surgery, “Once mainly performed manually, with notable cost in terms of time and human energies, vessel segmentation is currently realized through the appli cation of artificial intelligence (AI), which has gained increased interest and development of the field. Many different AI-driven models adopted for this aim h ave been described and can be grouped into different categories: thresholding me thods, edge- and region-based methods, model-based methods, and machine learning models. The latter includes neural network and deep learning models that now re present the principal algorithms exploited for vessel segmentation.”

Key words

Antibes/France/Europe/Artificial Inte lligence/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文