Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment
Background The assessment of a woman's risk for develo** breast cancer has become
increasingly important for establishing personalized screening recommendations and …
increasingly important for establishing personalized screening recommendations and …
A review of biomechanically informed breast image registration
Breast radiology encompasses the full range of imaging modalities from routine imaging via
x-ray mammography, magnetic resonance imaging and ultrasound (both two-and three …
x-ray mammography, magnetic resonance imaging and ultrasound (both two-and three …
Saliency based mass detection from screening mammograms
Screening mammography has been successful in early detection of breast cancer, which
has been one of the leading causes of death for women worldwide. Among commonly …
has been one of the leading causes of death for women worldwide. Among commonly …
A two-step deep learning method for 3DCT-2DUS kidney registration during breathing
This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S
kidney scans of free breathing, which comprises a feature network, and a 3D–2D CNN …
kidney scans of free breathing, which comprises a feature network, and a 3D–2D CNN …
Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data
Screening mammography aims to identify breast cancer early and secondarily measures
breast density to classify women at higher or lower than average risk for future breast cancer …
breast density to classify women at higher or lower than average risk for future breast cancer …
Temporal mammogram image registration using optimized curvilinear coordinates
Registration of mammograms plays an important role in breast cancer computer-aided
diagnosis systems. Radiologists usually compare mammogram images in order to detect …
diagnosis systems. Radiologists usually compare mammogram images in order to detect …
Optimized radial basis neural network for classification of breast cancer images
GM Rajathi - Current Medical Imaging, 2021 - ingentaconnect.com
Background: Breast cancer is a curable disease if diagnosed at an early stage. The chances
of having breast cancer are the lowest in married women after the breast-feeding phase …
of having breast cancer are the lowest in married women after the breast-feeding phase …
Fusion of deep learning and image processing techniques for breast cancer diagnosis
Deep learning has the capacity to gain great accuracy of diagnosing of numerous types of
cancers, along with lung, cervical, colon, and breast cancer. It builds an efficient algorithm …
cancers, along with lung, cervical, colon, and breast cancer. It builds an efficient algorithm …
A bilateral analysis scheme for false positive reduction in mammogram mass detection
Y Li, H Chen, Y Yang, L Cheng, L Cao - Computers in biology and …, 2015 - Elsevier
In this paper, a bilateral image analysis scheme is developed for the purpose of reducing
false positives (FPs) in the detection of masses in dense mammograms. It consists of two …
false positives (FPs) in the detection of masses in dense mammograms. It consists of two …
Mammographic texture versus conventional Cumulus measure of density in breast cancer risk prediction: a literature review
Mammographic textures show promise as breast cancer risk predictors, distinct from
mammographic density. Yet, there is a lack of comprehensive evidence to determine the …
mammographic density. Yet, there is a lack of comprehensive evidence to determine the …