Robotics & Machine Learning Daily News2024,Issue(Jan.25) :56-57.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :56-57.

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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Abstract

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.”

Key words

Hunan/People’s Republic of China/Asia/Breast Cancer/Cancer/Convolutional Network/Emerging Technologies/Health and Medicine/Machine Learning/Networks/Neural Networks/Oncology/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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