[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
A review on the use of deep learning for medical images segmentation
M Aljabri, M AlGhamdi - Neurocomputing, 2022 - Elsevier
Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …
images. They have been used extensively for medical image segmentation as the first and …
Automated breast cancer diagnosis based on machine learning algorithms
There have been several empirical studies addressing breast cancer using machine
learning and soft computing techniques. Many claim that their algorithms are faster, easier …
learning and soft computing techniques. Many claim that their algorithms are faster, easier …
Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
Methods Used in Computer‐Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
SZ Ramadan - Journal of healthcare engineering, 2020 - Wiley Online Library
According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …
new cases in the United States with invasive breast cancer in women, about 62,930 new …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
A systematic survey of deep learning in breast cancer
In recent years, we witnessed a speeding development of deep learning in computer vision
fields like categorization, detection, and semantic segmentation. Within several years after …
fields like categorization, detection, and semantic segmentation. Within several years after …
Computer vision-based microcalcification detection in digital mammograms using fully connected depthwise separable convolutional neural network
Microcalcification clusters in mammograms are one of the major signs of breast cancer.
However, the detection of microcalcifications from mammograms is a challenging task for …
However, the detection of microcalcifications from mammograms is a challenging task for …
Hyperparameter tuning and pipeline optimization via grid search method and tree-based autoML in breast cancer prediction
SFM Radzi, MKA Karim, MI Saripan… - Journal of personalized …, 2021 - mdpi.com
Automated machine learning (AutoML) has been recognized as a powerful tool to build a
system that automates the design and optimizes the model selection machine learning (ML) …
system that automates the design and optimizes the model selection machine learning (ML) …
[HTML][HTML] Efficient breast cancer detection via cascade deep learning network
B Asadi, Q Memon - International Journal of Intelligent Networks, 2023 - Elsevier
Breast calcifications or irregular tissue growth are major health concerns that can lead to
breast cancer. To enable early management, which significantly lowers death rates, it is …
breast cancer. To enable early management, which significantly lowers death rates, it is …