AIMC Topic: Breast Diseases

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Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.

Current medical imaging Jan 1, 2020
BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early detection of cancer increases the survival rate of the affected women. Machine learning approaches that are used for classification of breast cancer usual...
Humans Neural Networks, Computer Algorithms Female Sensitivity and Specificity Breast Neoplasms Support Vector Machine Early Detection of Cancer Mammography Datasets as Topic Radiographic Image Enhancement Breast Diseases
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Section Editor's Notebook: Augmented Intelligence in Women's Imaging-A Compelling Value Proposition.

AJR. American journal of roentgenology Feb 1, 2019
Humans Artificial Intelligence Female Diagnosis, Computer-Assisted Diagnostic Imaging Women's Health Breast Diseases
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Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Human level recall performance in detecting breast cancer considering microcalcifications from mammograms has a recall value between 74.5% and 92.3%. In this research, we approach to breast microcalcification classification problem using convolutiona...
Humans Neural Networks, Computer Calcinosis Mammography Breast Diseases
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