Abstract:
(Aim) Breast cancer is the most common cancer in women and the second most common cancer worldwide. With the rapid advancement of deep learning, the early stages of breas...Show MoreMetadata
Abstract:
(Aim) Breast cancer is the most common cancer in women and the second most common cancer worldwide. With the rapid advancement of deep learning, the early stages of breast cancer development can be accurately detected by radiologists with the help of artificial intelligence systems. (Method) Based on mammographic imaging, a mainstream clinical breast screening technique, we present a diagnostic system for accurate classification of breast abnormalities based on ResNet-50. To improve the proposed model, we created a new data augmentation framework called SCDA (Scaling and Contrast limited adaptive histogram equalization Data Augmentation). In its procedure, we first conduct the scaling operation to the original training set, followed by applying contrast limited adaptive histogram equalisation (CLAHE) to the scaled training set. By stacking the training set after SCDA with the original training set, we formed a new training set. The network trained by the augmented training set, was coined as ResNet-SCDA-50. Our system, which aims at a binary classification on mammographic images acquired from INbreast and MINI-MIAS, classifies masses, microcalcification as “abnormal”, while normal regions are classified as “normal”. (Results) We present the first attempt to use the image contrast enhancement method as the data augmentation method, resulting in an averaged 98.55 percent specificity and 92.83 percent sensitivity, which gives our best model an overall accuracy of 95.74 percent. (Conclusion) Our proposed method is effective in classifying breast abnormality.
Published in: IEEE/ACM Transactions on Computational Biology and Bioinformatics ( Volume: 18, Issue: 1, 01 Jan.-Feb. 2021)
Funding Agency:
Department of Informatics, University of Leicester, Leicester, U.K.
Xiang Yu received the bachelor's and master's degrees from Huanggang Normal University and Xiamen University, P.R. China, in 2014 and 2018, respectively. Currently, he is Working toward the PhD degree in the Department of Informatics, University of Leicester, U.K. Also, he was sponsored by CSC and by the University of Leicester as a graduate teaching assistant (GTA). His research interests include medical image segmentati...Show More
Xiang Yu received the bachelor's and master's degrees from Huanggang Normal University and Xiamen University, P.R. China, in 2014 and 2018, respectively. Currently, he is Working toward the PhD degree in the Department of Informatics, University of Leicester, U.K. Also, he was sponsored by CSC and by the University of Leicester as a graduate teaching assistant (GTA). His research interests include medical image segmentati...View more
Department of Informatics, University of Leicester, Leicester, U.K.
Cheng Kang received the master's degree from Shenzhen University, he is currently working toward the PhD degree from the Department of Informatics, University of Leicester, U.K. His research interests focus on EEG signal processing, deep learning. Currently, he is currently working on the early detection of breast cancer by artificial intelligence.
Cheng Kang received the master's degree from Shenzhen University, he is currently working toward the PhD degree from the Department of Informatics, University of Leicester, U.K. His research interests focus on EEG signal processing, deep learning. Currently, he is currently working on the early detection of breast cancer by artificial intelligence.View more
Leicester Cancer Research Centre, University of Leicester, Leicester, U.K
David Guttery He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research U.K. his research interests are intertwined with those of professor Jacqui Shaw (see Professor Jacqui Shaw's webpage), which focus on the utility of circulating nucleic acids and other circulating biomarkers for ...Show More
David Guttery He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research U.K. his research interests are intertwined with those of professor Jacqui Shaw (see Professor Jacqui Shaw's webpage), which focus on the utility of circulating nucleic acids and other circulating biomarkers for ...View more
Department of mathematics and computer science, Faculty of science, Beirut Arab University, Beirut, Lebanon
Seifedine Kadry (Senior Member, IEEE) received the bachelor's degree in applied mathematics, from Lebanese University, in 1999, the MS degree in computation from Reims University, France, and EPFL (Lausanne), in 2002, and the PhD degree in applied statistics, in 2007 from Blaise Pascal University, France, HDR degree, in 2017 from Rouen University. At present his research focuses on education using technology, system progn...Show More
Seifedine Kadry (Senior Member, IEEE) received the bachelor's degree in applied mathematics, from Lebanese University, in 1999, the MS degree in computation from Reims University, France, and EPFL (Lausanne), in 2002, and the PhD degree in applied statistics, in 2007 from Blaise Pascal University, France, HDR degree, in 2017 from Rouen University. At present his research focuses on education using technology, system progn...View more
Laboratory of Image Science and Technology, Southeast University, Nanjing, China
School of Computer Science and Engineering, Southeast University, Nanjing, China
School of Cyber Science and Engineering, Southeast University, Nanjing, China
Key Laboratory of Computer Network and Information Integration (Ministry of Education), Southeast University, Nanjing, China
Yang Chen (Senior Member, IEEE) received the MS and PhD degrees in biomedical engineering from First Military Medical University, China, in 2004 and 2007, respectively. Since 2008, he has been a faculty member with the Department of Computer Science and Engineering, Southeast University, China. His recent work concentrates on the medical image reconstruction, image analysis, pattern recognition, and computerized-aid diagn...Show More
Yang Chen (Senior Member, IEEE) received the MS and PhD degrees in biomedical engineering from First Military Medical University, China, in 2004 and 2007, respectively. Since 2008, he has been a faculty member with the Department of Computer Science and Engineering, Southeast University, China. His recent work concentrates on the medical image reconstruction, image analysis, pattern recognition, and computerized-aid diagn...View more
Department of Informatics, University of Leicester, Leicester, U.K.
Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Yu-Dong Zhang (Senior Member, IEEE) received the PhD degree from Southeast University, in 2010. He worked as a postdoctoral from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image P...Show More
Yu-Dong Zhang (Senior Member, IEEE) received the PhD degree from Southeast University, in 2010. He worked as a postdoctoral from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image P...View more
Contents Department of Informatics, University of Leicester, Leicester, U.K.
Xiang Yu received the bachelor's and master's degrees from Huanggang Normal University and Xiamen University, P.R. China, in 2014 and 2018, respectively. Currently, he is Working toward the PhD degree in the Department of Informatics, University of Leicester, U.K. Also, he was sponsored by CSC and by the University of Leicester as a graduate teaching assistant (GTA). His research interests include medical image segmentation, machine learning, and deep learning.
Xiang Yu received the bachelor's and master's degrees from Huanggang Normal University and Xiamen University, P.R. China, in 2014 and 2018, respectively. Currently, he is Working toward the PhD degree in the Department of Informatics, University of Leicester, U.K. Also, he was sponsored by CSC and by the University of Leicester as a graduate teaching assistant (GTA). His research interests include medical image segmentation, machine learning, and deep learning.View more
Department of Informatics, University of Leicester, Leicester, U.K.
Cheng Kang received the master's degree from Shenzhen University, he is currently working toward the PhD degree from the Department of Informatics, University of Leicester, U.K. His research interests focus on EEG signal processing, deep learning. Currently, he is currently working on the early detection of breast cancer by artificial intelligence.
Cheng Kang received the master's degree from Shenzhen University, he is currently working toward the PhD degree from the Department of Informatics, University of Leicester, U.K. His research interests focus on EEG signal processing, deep learning. Currently, he is currently working on the early detection of breast cancer by artificial intelligence.View more
Leicester Cancer Research Centre, University of Leicester, Leicester, U.K
David Guttery He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research U.K. his research interests are intertwined with those of professor Jacqui Shaw (see Professor Jacqui Shaw's webpage), which focus on the utility of circulating nucleic acids and other circulating biomarkers for early detection and monitoring of cancer. He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research UK.
David Guttery He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research U.K. his research interests are intertwined with those of professor Jacqui Shaw (see Professor Jacqui Shaw's webpage), which focus on the utility of circulating nucleic acids and other circulating biomarkers for early detection and monitoring of cancer. He is currently a co-investigator on an integrated, collaborative programme of clinical and translational research between the University and Leicester and Imperial College funded by Cancer Research UK.View more
Department of mathematics and computer science, Faculty of science, Beirut Arab University, Beirut, Lebanon
Seifedine Kadry (Senior Member, IEEE) received the bachelor's degree in applied mathematics, from Lebanese University, in 1999, the MS degree in computation from Reims University, France, and EPFL (Lausanne), in 2002, and the PhD degree in applied statistics, in 2007 from Blaise Pascal University, France, HDR degree, in 2017 from Rouen University. At present his research focuses on education using technology, system prognostics, stochastic systems, and probability and reliability analysis. He is ABET program evaluator.
Seifedine Kadry (Senior Member, IEEE) received the bachelor's degree in applied mathematics, from Lebanese University, in 1999, the MS degree in computation from Reims University, France, and EPFL (Lausanne), in 2002, and the PhD degree in applied statistics, in 2007 from Blaise Pascal University, France, HDR degree, in 2017 from Rouen University. At present his research focuses on education using technology, system prognostics, stochastic systems, and probability and reliability analysis. He is ABET program evaluator.View more
Laboratory of Image Science and Technology, Southeast University, Nanjing, China
School of Computer Science and Engineering, Southeast University, Nanjing, China
School of Cyber Science and Engineering, Southeast University, Nanjing, China
Key Laboratory of Computer Network and Information Integration (Ministry of Education), Southeast University, Nanjing, China
Yang Chen (Senior Member, IEEE) received the MS and PhD degrees in biomedical engineering from First Military Medical University, China, in 2004 and 2007, respectively. Since 2008, he has been a faculty member with the Department of Computer Science and Engineering, Southeast University, China. His recent work concentrates on the medical image reconstruction, image analysis, pattern recognition, and computerized-aid diagnosis.
Yang Chen (Senior Member, IEEE) received the MS and PhD degrees in biomedical engineering from First Military Medical University, China, in 2004 and 2007, respectively. Since 2008, he has been a faculty member with the Department of Computer Science and Engineering, Southeast University, China. His recent work concentrates on the medical image reconstruction, image analysis, pattern recognition, and computerized-aid diagnosis.View more
Department of Informatics, University of Leicester, Leicester, U.K.
Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Yu-Dong Zhang (Senior Member, IEEE) received the PhD degree from Southeast University, in 2010. He worked as a postdoctoral from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. Now he serves as professor with the Department of Informatics, University of Leicester, U.K.
Yu-Dong Zhang (Senior Member, IEEE) received the PhD degree from Southeast University, in 2010. He worked as a postdoctoral from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at Research Foundation of Mental Hygiene (RFMH), USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. Now he serves as professor with the Department of Informatics, University of Leicester, U.K.View more
