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Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa and Hiroyuki Sugimori
Convolutional neural networks (CNNs) in deep learning have input pixel limitations, which leads to lost information regarding microcalcification when mammography images are compressed. Segmenting images into patches retains the original resolution when i...
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Rocio Sanchez-Montero, Juan-Antonio Martinez-Rojas, Pablo-Luis Lopez-Espi, Luis Nuñez-Martin and Efren Diez-Jimenez
The proposed method can be used for detecting suspected incipient breast lesions that may cause breast cancer.
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Sheng Cai, Pei-Zhong Liu, Yan-Min Luo, Yong-Zhao Du and Jia-Neng Tang
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis....
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