Research Articles: Recent submissions
Now showing items 21-25 of 25
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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 ... -
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 ...