
Blessing OjemeMorgan State University · Department of Computer Science
Blessing Ojeme
Doctor of Philosophy
About
10
Publications
4,154
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72
Citations
Citations since 2017
Introduction
I work on image segmentation using machine learning and deep learning approaches
Additional affiliations
April 2021 - December 2022
March 2020 - April 2021
Education
February 2014 - December 2018
April 2004 - March 2006
Publications
Publications (10)
The detection and segmentation of mitochondria from fluorescence microscopy is crucial for understanding the complex structure of the nervous system. However, the constant fission and fusion of mitochondria and image distortion in the background make the task of detection and segmentation challenging. Although there exists a number of open-source s...
Until recently, traditional machine learning techniques (TMLTs) such as multilayer per-ceptrons (MLPs) and support vector machines (SVMs) have been used successfully for churn prediction , but with significant efforts expended on the configuration of the training parameters. The selection of the right training parameters for supervised learning is...
The paper describes the application of local binary patterns and cascade AdaBoost classifier (CAC) to detect and analyse mice behavioural movement. This was done with a view to investigating the inconsistencies associated with current practices, whereby mice behavioural classification is achieved by means of human-generated labels. The developed ca...
Health is fundamental to development and access to healthcare is a major health and development issue particularly in developing countries where preventable diseases and premature deaths still inflict a high toll. In Nigeria, for instance, under-financing, inefficient allocation of limited medical resources has led to quantitative and qualitative d...
Depression is a serious worldwide public health problem, and its diagnosis still remains a challenge in the medical community. The difficulties of detecting depression are largely due to its high comorbid factor. Given the reciprocal relationship between depression and physical illness, mental health professionals have called for a diagnostic appro...
Like other real-world problems, reasoning in clinical depression presents cognitive challenges for clinicians. This is due to the presence of co-occuring diseases, incomplete data, uncertain knowledge, and the vast amount of data to be analysed. Current approaches rely heavily on the experience, knowledge, and subjective opinions of clinicians, cre...
Increasing cases of misdiagnosis of mental disorders in Nigeria despite the use of the international standards provided in the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) and International Classification of Diseases (ICD-10) calls for an approach that takes cognizance of the socio-economic difficulties on the ground. While a growi...
System design involves the ability to design a new system that satisfies the needs that have been determined during the analysis phase by intellectual reasoning. The different modules that make up the exam and record system were designed. There respective modules were joined to enable the system function according to specification. State universiti...