Browsing Research Articles by Title
Now showing items 1-20 of 28
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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting
(University of Cape Town, 2016)Two-dimensional X-ray imaging is the dominant imaging modality in low-resource countries despite the existence of three-dimensional (3D) imaging modalities. This is because fewer hospitals in low-resource countries can ... -
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging
(BMC Medical Imaging, 2020)Background: Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human anatomy. Conventional (high-field) MRI scanners are very expensive ... -
Approaches for Image Reconstruction in Low-Field Magnetic Resonance Imaging
(2021)Background: Magnetic Resonance Imaging (MRI) and spectroscopic techniques are frequently employed for clinical diagnostics as well as basic research in areas like cognitive neuroimaging. MRI is a widely used imaging modality ... -
Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images
(2019)Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, cervical cancer can be treated if detected at an early stage. Pap-smear is a good tool for screening of cervical cancer but the ... -
Automated innovation and impact
(Science, 2024)In 2015, my grandmother succumbed to cervical cancer, which was linked to a late-stage diagnosis. This incident puzzled me because she had previously undergone cervical cancer screening, and the results had turned out to ... -
Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach.
(Research square, 2021)Background: Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology especially for cervical cancer screening from pap-smears. Manual assessment of pap-smears is labour ... -
Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier
(IEEE Xplore, 2019)Abstract— Cervical cancer ranks as the fourth most prevalent cancer affecting women worldwide and its early detection provides the opportunity to help save life. Automated diagnosis of cervical cancer from pap-smear images ... -
Cervical cancer classification from Pap-smears using an enhanced fuzzy Cmeans algorithm
(Informatics in Medicine Unlocked, 2019)Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, it can be successfully treated if detected at an early stage. The Pap smear is a good tool for initial screening of cervical ... -
Design of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus
(Magnetic Resonance Materials in Physics, Biology and Medicine, 2017)Objectives The need for affordable and appropriate medical technologies for developing countries continues to rise as challenges such as inadequate energy supply, limited technical expertise, and poor infrastructure ... -
Design of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus
(Magnetic Resonance Materials in Physics, Biology and Medicine, 2018-03)Objectives: The need for affordable and appropriate medical technologies for developing countries continues to rise as challenges such as inadequate energy supply, limited technical expertise, and poor infrastructure ... -
A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging
(2020)Objective: Image denoising has been considered as a separate procedure from image reconstruction which could otherwise be combined with acquisition and reconstruction. This paper discusses a joint image reconstruction and ... -
A digital pathology platform for automated diagnosis and classification of cervical cancer from pap-smear images (digpath)
(Mbarara University of Science and Technology, 2019)Background: Globally, cervical cancer ranks as the fourth most frequent cancer in women with an estimated 570,000 new cases in 2018, representing 6.6% of all female cancers. Approximately 90% of deaths from cervical ... -
The embodiment of low-field MRI for the diagnosis of infant hydrocephalus in Uganda
(2020 IEEE Global Humanitarian Technology Conference (GHTC), 2020)Compared to other parts of the world, the incidence of hydrocephalus in children is very high in sub- Saharan Africa. Magnetic resonance imaging (MRI) would be the preferred diagnostic method for infant hydrocephaleus. ... -
Ethical and regulatory challenges of large language models in medicine
(The Lancet Digital Health, 2024)With the rapid growth of interest in and use of large language models (LLMs) across various industries, we are facing some crucial and profound ethical concerns, especially in the medical field. The unique technical ... -
Evaluating 3D human face reconstruction from a frontal 2D image, focusing on facial regions associated with foetal alcohol syndrome
(South African Journal of Science, 2023)Foetal alcohol syndrome (FAS) is a preventable condition caused by maternal alcohol consumption during pregnancy. The FAS facial phenotype is an important factor for diagnosis, alongside central nervous system impairments ... -
Five steps to make MRI scanners more affordable to the world
(Nature, 2023)Fifty years since the basis of magnetic resonance imaging was published, MRI scanners remain expensive — and impractical in many countries. Here’s how we are making them smaller and less costly. -
A framework for advancing sustainable magnetic resonance imaging access in Africa
(NMR in Biomedicine, 2023)Magnetic resonance imaging (MRI) technology has profoundly transformed current healthcare systems globally, owing to advances in hardware and software research innovations. Despite these advances, MRI remains largely ... -
Looking towards the future of MRI in Africa
(nature communications, 2024)Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool within modern healthcare, yet its availability remains largely confined to high income nations. The imperative to extend MRI accessibility to lower income countries ... -
Low-field MRI: A report on the 2022 ISMRM workshop
(Magnetic Resonance in Medicine, 2023)In March 2022, the first ISMRM Workshop on Low-Field MRI was held virtually. The goals of this workshop were to discuss recent low field MRI technology including hardware and software developments, novel methodology, new ... -
Moving towards vertically integrated artificial intelligence development
(NPJ digital medicine, 2022)Substantial interest and investment in clinical artificial intelligence (AI) research has not resulted in widespread translation to deployed AI solutions. Current attention has focused on bias and explainability in AI ...
