TY - GEN
T1 - Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images
AU - Zhi, Weiming
AU - Yueng, Henry Wing Fung
AU - Chen, Zhenghao
AU - Zandavi, Seid Miad
AU - Lu, Zhicheng
AU - Chung, Yuk Ying
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Diagnosis from histopathological images is the gold standard in diagnosing breast cancer. This paper investigates using transfer learning with convolutional neural networks to automatically diagnose breast cancer from patches of histopathological images. We compare the performance of using transfer learning with an off-the-shelf deep convolutional neural network architecture, VGGNet, and a shallower custom architecture. Our proposed final ensemble model, which contains three custom convolutional neural network classifiers trained using transfer learning, achieves a significantly higher image classification accuracy on the large public benchmark dataset than the current best results, for all image resolution levels.
AB - Diagnosis from histopathological images is the gold standard in diagnosing breast cancer. This paper investigates using transfer learning with convolutional neural networks to automatically diagnose breast cancer from patches of histopathological images. We compare the performance of using transfer learning with an off-the-shelf deep convolutional neural network architecture, VGGNet, and a shallower custom architecture. Our proposed final ensemble model, which contains three custom convolutional neural network classifiers trained using transfer learning, achieves a significantly higher image classification accuracy on the large public benchmark dataset than the current best results, for all image resolution levels.
KW - Convolutional neural networks
KW - Deep learning
KW - Histopathological image analysis
KW - Transfer learning
UR - http://www.scopus.com/inward/record.url?scp=85035081829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035081829&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-70093-9_71
DO - 10.1007/978-3-319-70093-9_71
M3 - Conference paper
AN - SCOPUS:85035081829
SN - 9783319700922
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 669
EP - 676
BT - Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings
A2 - Liu, Derong
A2 - Xie, Shengli
A2 - Li, Yuanqing
A2 - El-Alfy, El-Sayed M.
A2 - Zhao, Dongbin
PB - Springer-Verlag Italia Srl
T2 - 24th International Conference on Neural Information Processing, ICONIP 2017
Y2 - 14 November 2017 through 18 November 2017
ER -