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 …
[HTML][HTML] 3D deep learning on medical images: a review
The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …
availability of medical imaging data have led to a rapid increase in the use of deep learning …
Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
CAD programs that use prompts to indicate potential cancers on the mammograms have not …
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 …
Radiological images and machine learning: trends, perspectives, and prospects
The application of machine learning to radiological images is an increasingly active
research area that is expected to grow in the next five to ten years. Recent advances in …
research area that is expected to grow in the next five to ten years. Recent advances in …
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 …
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Breast cancer exhibits one of the highest incidence and mortality rates among all cancers
affecting women. The early detection of breast cancer reduces mortality and is crucial for …
affecting women. The early detection of breast cancer reduces mortality and is crucial for …
A review on automated cancer detection in medical images using machine learning and deep learning based computational techniques: Challenges and …
Cancer is one of the most deadly diseases diagnosed among the population across the
globe so far. The number of cases is increasing at a high pace each year that subsequently …
globe so far. The number of cases is increasing at a high pace each year that subsequently …
Automatic computer-aided diagnosis system for mass detection and classification in mammography
IA Lbachir, I Daoudi, S Tallal - Multimedia Tools and Applications, 2021 - Springer
Mammography is currently the most powerful technique for early detection of breast cancer.
To assist radiologists to better interpret mammogram images, computer-aided detection and …
To assist radiologists to better interpret mammogram images, computer-aided detection and …
[PDF][PDF] Pseudo zernike moment and deep stacked sparse autoencoder for COVID-19 diagnosis
(Aim) COVID-19 is an ongoing infectious disease. It has caused more than 107.45 m
confirmed cases and 2.35 m deaths till 11/Feb/2021. Traditional computer vision methods …
confirmed cases and 2.35 m deaths till 11/Feb/2021. Traditional computer vision methods …