Convolutional neural networks for breast cancer detection in mammography: A survey

L Abdelrahman, M Al Ghamdi, F Collado-Mesa… - Computers in biology …, 2021 - Elsevier
Despite its proven record as a breast cancer screening tool, mammography remains labor-
intensive and has recognized limitations, including low sensitivity in women with dense …

Computer-aided detection and diagnosis of breast cancer with mammography: recent advances

J Tang, RM Rangayyan, J Xu… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Breast cancer is the second-most common and leading cause of cancer death among
women. It has become a major health issue in the world over the past 50 years, and its …

BI-RADS Category Prediction from Mammography Images and Mammography Radiology Reports Using Deep Learning: A Systematic Review

A Shiwlani, A Ahmad, M Umar… - Jurnal Ilmiah …, 2024 - ejurnal.snn-media.com
Women's health and mortality are significantly threatened by breast cancer, underscoring
the importance of timely detection and treatment. Mammograms are an extremely useful and …

Neural networks for computer-aided diagnosis in medicine: a review

AV Vasilakos, Y Tang, Y Yao - Neurocomputing, 2016 - Elsevier
This survey makes an overview of the most recent applications on the neural networks for
the computer-aided medical diagnosis (CAMD) over the past decade. CAMD can facilitate …

Formal design methods for reliable computer-aided diagnosis: a review

O Faust, UR Acharya, T Tamura - IEEE reviews in biomedical …, 2012 - ieeexplore.ieee.org
Physiological signals, medical images, and biosystems can be used to access the health of
a subject and they can support clinicians by improving the diagnosis for treatment purposes …

Multi-view probabilistic classification of breast microcalcifications

AJ Bekker, M Shalhon, H Greenspan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Classification of clustered breast microcalcifications into benign and malignant categories is
an extremely challenging task for computerized algorithms and expert radiologists alike. In …

[PDF][PDF] A survey of computer-aided detection of breast cancer with mammography

Y Li, H Chen, L Cao, J Ma - J Health Med Inf, 2016 - researchgate.net
Computer-aided detection (CAD) systems can be served as a second view for radiologist.
An overview of recent development in CAD methods are presented in this paper …

Bi-model processing for early detection of breast tumor in CAD system

B Mughal, M Sharif, N Muhammad - The European Physical Journal Plus, 2017 - Springer
Early screening of skeptical masses in mammograms may reduce mortality rate among
women. This rate can be further reduced upon developing the computer-aided diagnosis …

Performance analysis of various classifiers on deep learning network for breast cancer detection

D Selvathi, A AarthyPoornila - 2017 International Conference …, 2017 - ieeexplore.ieee.org
Cancer is a deadly disease that plagues mankind. 12.5% of women acquire breast cancer in
their lifetime. Though, the mortality rate in women due to breast cancer is the second highest …

Comparison classifier: support vector machine (SVM) and K-nearest neighbor (K-NN) in digital mammogram images

J Harefa, A Alexander, M Pratiwi - Jurnal Informatika dan Sistem …, 2016 - journal.uc.ac.id
In order to begin the initial check on breast cancer, radiologist can use Computer Aided
Diagnosis (CAD) as another option to detect breast cancer. During breast cancer check …