首页|Central South University Reports Findings in Breast Cancer (Prior Clinico-Radiological Features Informed Multi-Modal MR Images Convolution Neural Network: A novel deep learning framework for prediction of lymphovascular invasion in breast cancer)
Central South University Reports Findings in Breast Cancer (Prior Clinico-Radiological Features Informed Multi-Modal MR Images Convolution Neural Network: A novel deep learning framework for prediction of lymphovascular invasion in breast cancer)
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By a News Reporter-Staff News Editor at Network Daily News - New researchon Oncology-Breast Cancer is the subject of a report. According to news reporting out of Hunan, People’sRepublic of China, by NewsRx editors, research stated, “Current methods utilizing preoperative magneticresonance imaging (MRI)-based radiomics for assessing lymphovascular invasion (LVI) in patients withearly-stage breast cancer lack precision, limiting the options for surgical planning. This study aimed todevelop a sophisticated deep learning framework called ‘Prior Clinico-Radiological Features Informed Multi-Modal MR Images Convolutional Neural Network (PCMM-Net)’ to improve the accuracy of LVI predictionin breast cancer.”
HunanPeople’s Republic of ChinaAsiaBreast CancerCancerConvolutional NetworkEmerging TechnologiesHealth and MedicineMachine LearningNetworksNeural NetworksOncologyWomen’s Health
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