Research Overview & Focus
The researcher's work focuses on integrating AI techniques with medical diagnostics through deep learning models such as ResNet18 and ResNet34 to enhance breast cancer detection systems, particularly addressing challenges in computational intelligence. Additionally, the study explores optimization problems in software engineering, exemplified by the Team Orienteering Problem with Overlaps, demonstrating how advanced algorithmic approaches can be applied across diverse domains.
Key Research Themes (2)
Physical Sciences
AI in cancer detection
Physical Sciences
Software Engineering Techniques and Practices
Publications (5)
Investigating the detection of breast cancer with deep transfer learning using ResNet18 and ResNet34
Open AccessAuthor response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"
Author response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"
Author response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"
The Team Orienteering Problem with Overlaps
2019Software Engineering Techniques and Practices
Academic Metrics
DepartmentDepartment of Physics
Total Publications5
Research Themes2
Open Access Papers1
Department of Physics
Kwame Nkrumah University of Science and Technology