Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …
can help decrease breast cancer mortality rates. Computer-aided detection allows …
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …
significantly in the recent years. Physician experience of diagnosing and detecting breast …
A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities
Patients with breast cancer are prone to serious health-related complications with higher
mortality. The primary reason might be a misinterpretation of radiologists in recognizing …
mortality. The primary reason might be a misinterpretation of radiologists in recognizing …
Deep learning cascaded feature selection framework for breast cancer classification: Hybrid CNN with univariate-based approach
With the help of machine learning, many of the problems that have plagued mammography
in the past have been solved. Effective prediction models need many normal and tumor …
in the past have been solved. Effective prediction models need many normal and tumor …
A hybrid deep transfer learning of CNN-based LR-PCA for breast lesion diagnosis via medical breast mammograms
One of the most promising research areas in the healthcare industry and the scientific
community is focusing on the AI-based applications for real medical challenges such as the …
community is focusing on the AI-based applications for real medical challenges such as the …
A bottom-up review of image analysis methods for suspicious region detection in mammograms
Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …
Computer-aided diagnosis: A survey with bibliometric analysis
R Takahashi, Y Kajikawa - International journal of medical informatics, 2017 - Elsevier
Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …
decades. However, CAD is a very complicated subject because it involves a number of …
A review of machine learning techniques for the classification and detection of breast cancer from medical images
Cancer is an incurable disease based on unregulated cell division. Breast cancer is the
most prevalent cancer in women worldwide, and early detection can lower death rates …
most prevalent cancer in women worldwide, and early detection can lower death rates …
Deep learning capabilities for the categorization of microcalcification
Breast cancer is the most common cancer in women worldwide. It is the most frequently
diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of …
diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of …
Anomaly detection of calcifications in mammography based on 11,000 negative cases
In mammography, calcifications are one of the most common signs of breast cancer.
Detection of such lesions is an active area of research for computer-aided diagnosis and …
Detection of such lesions is an active area of research for computer-aided diagnosis and …