Faculty of Applied Sciences and Technology: Recent submissions
Now showing items 41-53 of 53
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Evaluation of a Knowledge Management Dashboard for Manufacturing SMEs in Resource Constrained Areas
(Academic Conferences International Limited, 2018)Decision support dashboards increase the quality, effectiveness and efficiency of decision making. Studies reveal that existing dashboards require heavy investment in network infrastructure and hence an increase in system ... -
EtherCAT Technology for Reliable Industrial Communication Networks
(IJSRD - International Journal for Scientific Research & Development, 2015)Abstract— The modern developing communication industry requires increasingly faster, more throughput and reliable com-munication networks which are able to work in a hard real-time situation. This paper presents the EtherCAT ... -
Development of ultra low field magnetic resonance imaging for diagnosis of hydrophalus in developing countries
(The Pennsylvania State University, 2017)Access to Medical imaging technologies and services still remain a challenge in low and middle income countries (LMICs). The most common imaging modalities available are X-ray technologies and ultrasound, none of which ... -
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 ... -
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 ... -
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 ... -
Approaches in cooling of resistive coilbased low-field Magnetic Resonance Imaging (MRI) systems for application in low resource settings
(BMC Biomedical Engineering, 2021)Magnetic Resonance Imaging (MRI), a non-invasive method for the diagnosis of diverse health conditions has experienced growing popularity over other imaging modalities like ultrasound and Computer Tomography. Initially, ... -
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 ... -
A review of Image Analysis and Machine Learning Techniques for Automated Cervical Cancer Screening from pap-smear images
(Computer methods and programs in biomedicine, 2018)Background and Objective: Early diagnosis and classification of a cancer type can help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as the fourth most prevalent cancer affecting women ... -
A pap‑smear analysis tool (PAT) for detection of cervical cancer from pap‑smear images
(BioMed Eng OnLine, 2019)Background: Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of cervical cancer. However, the manual analysis of the ... -
A Locally Developed Electronic Health Platform in Uganda
(JMIR Formative Research, 2018)Background: Electronic health records (EHRs) are especially important in low-resource settings due to their potential to address unique challenges such as a high number of patients requiring long-term treatments who are ... -
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 ... -
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 ...
