Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN)

Breast cancer is one of the leading causes of cancer death among women in worldwide. Early diagnosis of breast cancer improves the chance of survival by aiding proper clinical treatments. The digital mammography examination helps in diagnosing the breast cancer at its earlier stage. In this paper, M...

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Veröffentlicht in:	Journal of medical systems Jg. 44; H. 1; S. 30 - 9
Hauptverfasser:	Agnes, S. Akila, Anitha, J., Pandian, S. Immanuel Alex, Peter, J. Dinesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2020 Springer Nature B.V
Schlagworte:	Artificial neural networks Breast cancer Breast Neoplasms - pathology Classification Health Informatics Health Informatics and Computer Vision Health Sciences Humans Image & Signal Processing Image classification Image Interpretation, Computer-Assisted - methods Machine Learning Mammography Mammography - methods Medicine Medicine & Public Health Neural networks Neural Networks, Computer Recent Advances in Deep Learning for Biomedical Signal Processing Statistics for Life Sciences Feature learning Breast cancer Deep convolutional neural network Computer-aided detection Image classification
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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