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All Outputs (6)

Automatic Classification, Detection and Segmentation of Breast Arterial Calcification on Digital Mammography Images Using Deep Learning (2025)
Thesis

Cardiovascular disease (CVD) is the leading cause of premature death in the United Kingdom with one type, coronary artery disease, killing more than twice as many women as breast cancer. Conventional CVD risk factors have been shown to have less accu... Read More about Automatic Classification, Detection and Segmentation of Breast Arterial Calcification on Digital Mammography Images Using Deep Learning.

Cultivate Quantitative Magnetic Resonance Imaging Methods to Measure Markers of Health and Translate to Large Scale Cohort Studies (2023)
Thesis

Magnetic Resonance Imaging (MRI) is an indispensable tool in healthcare and research, with a growing demand for its services. The appeal of MRI stems from its non-ionizing radiation nature, ability to generate high-resolution images of internal organ... Read More about Cultivate Quantitative Magnetic Resonance Imaging Methods to Measure Markers of Health and Translate to Large Scale Cohort Studies.

Evaluation of the effect of breast implants on the accuracy of the CT attenuation Correction (CTAC) map for SPECT/CT myocardial perfusion imaging: a phantom study (2022)
Thesis
Alanezi, A. Evaluation of the effect of breast implants on the accuracy of the CT attenuation Correction (CTAC) map for SPECT/CT myocardial perfusion imaging: a phantom study. (Thesis). University of Salford

Background: Myocardial perfusion imaging (MPI) using single photon emission computed
tomography (SPECT) imaging can assess myocardial viability and perfusion. However,
overlying thoracic structures, such as ribs or breast tissue lead to gamma ray a... Read More about Evaluation of the effect of breast implants on the accuracy of the CT attenuation Correction (CTAC) map for SPECT/CT myocardial perfusion imaging: a phantom study.

Evaluation of image receptor angulation during mediolateral oblique positioning for optimised pressure and area distribution in mammography (2022)
Thesis
Osmanu, M. Evaluation of image receptor angulation during mediolateral oblique positioning for optimised pressure and area distribution in mammography. (Thesis). University of Salford

Background
Mammography is the gold standard diagnostic tool for the screening and diagnosis of breast cancer; however, it is associated with pain and discomfort. The pain and discomfort are mostly due to positioning and the compression applied durin... Read More about Evaluation of image receptor angulation during mediolateral oblique positioning for optimised pressure and area distribution in mammography.