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Tiantain Ren

Ma’anshan People’s Hospital - Department of Medical Ultrasound

Ma’anshan

China

SCHOLARLY PAPERS

1

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1

Scholarly Papers (1)

1.

Decoding the Molecular Subtypes of Breast Cancer Seen on Multimodal Ultrasound Images Using an Assembled Convolutional Neural Network Model: A Prospective and Multicenter Study

Number of pages: 36 Posted: 23 Jul 2021
Government of the People's Republic of China - Center of Minimally Invasive Treatment for Tumor, Government of the People's Republic of China - Center of Minimally Invasive Treatment for Tumor, GE HealthCare China - Translational Medicine Team, Ma’anshan People’s Hospital - Department of Medical Ultrasound, Sun Yat-sen University (SYSU) - Department of Medical Ultrasound, Beijing XiaoBaiShiJi Network Technical Co., Ltd, Government of the People's Republic of China - Center of Minimally Invasive Treatment for Tumor, Government of the People's Republic of China - Center of Minimally Invasive Treatment for Tumor and Government of the People's Republic of China - Center of Minimally Invasive Treatment for Tumor
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Citation 1

Abstract:

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Breast Cancer, Molecular Subtypes, Multimodal Ultrasound Images, Assemble Convolutional Neural Network, Prediction