[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 …
Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
Hover-trans: Anatomy-aware hover-transformer for roi-free breast cancer diagnosis in ultrasound images
Ultrasonography is an important routine examination for breast cancer diagnosis, due to its
non-invasive, radiation-free and low-cost properties. However, the diagnostic accuracy of …
non-invasive, radiation-free and low-cost properties. However, the diagnostic accuracy of …
Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model
Globally, breast cancer is considered a major reason for women's morality. Earlier and
accurate identification of breast cancer is essential to increase survival rates. Therefore …
accurate identification of breast cancer is essential to increase survival rates. Therefore …
Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound
As the new generation of breast cancer screening tools, automated breast ultrasound
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …
A new deep-learning-based model for breast cancer diagnosis from medical images
S Zakareya, H Izadkhah, J Karimpour - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the most prevalent cancers among women worldwide, and early
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …