Transferring deep neural networks for the differentiation of mammographic breast lesions

• 作 者: YU ShaoDe LIU LingLing WANG Zh
• 机 构: ShenzhenInstitutesofAdvancedTechnology,DepartmentofRadiology,Sino-DutchBiomedicalandInformationEngin
• 出 处: 中国科学:技术科学英文版
• 发表日期: 2019年3期
• 关键词: convolutional NEURAL network TRANSFER learning mammographic IMAGE BREAST cancer
• 基金项目: the National Key Research and Development Program of China(Grant No.2016YFC0105102),the Leading Talent of Special Support Project in Guangdong(Grant No.2016TX03R139),the Shenzhen Key Technical Researc

Machine learning can help differentiating benign and malignant lesions seen on mammographic images. Conventional models require handcrafting features for lesion representation. Due to insufficient medical instances, the performance of convolutional neural