Cancer Hospital Reports Findings in Artificial Intelligence (Clinically Applicab le Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology)
Cancer Hospital Reports Findings in Artificial Intelligence (Clinically Applicab le Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology)
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 originating from Beijing, People 's Republic of China, by NewsRx correspondents, research stated, "Lymph node met astasis is one of the most common ways of tumour metastasis. The presence or abs ence of lymph node involvement influences the cancer's stage, therapy, and progn osis." Our news journalists obtained a quote from the research from Cancer Hospital, "T he integration of artificial intelligence systems in the histopathological diagn osis of lymph nodes after surgery is urgent. Here, we propose a pan-origin lymph node cancer metastasis detection system. The system is trained by over 700 whol e-slide images (WSIs) and is composed of two deep learning models to locate the lymph nodes and detect cancers. It achieved an area under the receiver operating characteristic curve (AUC) of 0.958, with a 95.2% sensitivity and 72.2% specificity, on 1,402 WSIs from 49 organs at the National C ancer Center, China. Moreover, we demonstrated that the system could perform rob ustly with 1,051 WSIs from 52 organs from another medical centre, with an AUC of 0.925."
Key words
Beijing/People's Republic of China/Asi a/Artificial Intelligence/Cancer/Cancer Detection/Emerging Technologies/Hea lth and Medicine/Hemic and Immune Systems/Immunology/Lymph Nodes/Lymphoid Ti ssue/Machine Learning/Oncology/Pathology
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