首页|Jinan University Reports Findings in Breast Cancer (Machine learning radiomics b ased on intra and peri tumor PA/US images distinguish between luminal and non-lu minal tumors in breast cancers)
Jinan University Reports Findings in Breast Cancer (Machine learning radiomics b ased on intra and peri tumor PA/US images distinguish between luminal and non-lu minal tumors in breast cancers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Breast Canc er is the subject of a report. According to news originating from Guangdong, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “This study aimed to evaluate a radiomics model using Photoacoustic/ultrasound (PA/US) imagi ng at intra and peri-tumoral area to differentiate Luminal and non-Luminal breas t cancer (BC) and to determine the optimal peritumoral area for accurate classif ication. From February 2022 to April 2024, this study continuously collected 322 patients at Shenzhen People’s Hospital, using standardized conditions for PA/US imaging of BC.”
GuangdongPeople’s Republic of ChinaAsiaAnxiolytics Sedatives and HypnoticsBarbiturate AnticonvulsantsBarbituratesBreast CancerCancerCentral Nervous System AgentsCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineLuminal TherapyMachine LearningOncologyPharmaceuticalsUltrasoundWomen’s Health
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