A deep convolutional neural network for the early detection of breast carcinoma with respect to hyper- parameter tuning

Medical image processing needs attention towards accurate analysis rate which directly implies on the treatment. This paper focuses on the mammogram image analysis for early prediction of breast cancer (Screening) and reduce the mortality rate rather than using an invasive diagnosis technique. To cl...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 79; no. 15-16; pp. 11013 - 11038
Main Authors:	Saranyaraj, D, Manikandan, M, Maheswari, S
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-04-2020 Springer Nature B.V
Subjects:	Accuracy Artificial neural networks Breast cancer Cancer Classification Computational grids Computer Communication Networks Computer Science Data Structures and Information Theory Digital imaging Feature extraction Image analysis Image classification Image detection Image processing Mammography Mathematical models Medical imaging Multilayers Multimedia Information Systems Neural networks Noise reduction Parameters Screening Smoothness Special Purpose and Application-Based Systems Tuning Deep learning Breast cancer detection Deep convolutional neural network Hyper-parameter tuning
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