Abidemi Elizabeth Awujoola

Abidemi Elizabeth Awujoola epitomizes a multifaceted educator whose impact transcends the classroom. With nearly two decades of experience as a dedicated biology teacher, Abidemi's journey has been marked by a relentless pursuit of academic excellence and a fervent passion for the natural sciences. Commencing her career at the esteemed Nigerian Defence Academy Staff Secondary School in 2008, Abidemi quickly established herself as a beacon of inspiration for her students. Her teaching philosophy, characterized by interactive learning and a student-centered approach, has ignited a profound appreciation for biology among countless individuals. Rooted in a robust educational foundation encompassing a Bachelor of Technology in Biology Education/Chemistry and a National Certificate in Education (NCE) in Biology/Chemistry, Abidemi's expertise is further enriched by her ongoing pursuit of a Master's degree in Biotechnology.

Publications

Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
Olalekan Joel Awujoola, Theophilus Enem Aniemeka, Francisca N. Ogwueleka, Oluwasegun Abiodun Abioye, Abidemi Elizabeth Awujoola, Celestine Ozoemenam Uwa. © 2024. 28 pages.
Cancer, characterized by uncontrolled cell division, is an incurable ailment, with breast cancer being the most prevalent form globally. Early detection remains critical in...
Improving Leukemia Detection Accuracy: Contrast Limited Adaptive Histogram Equalization-Enhanced Image Preprocessing Combined ResNet101 and Haralick Feature Extraction
Improving Leukemia Detection Accuracy: Contrast Limited Adaptive Histogram Equalization-Enhanced Image Preprocessing Combined ResNet101 and Haralick Feature Extraction
Olalekan Joel Awujoola, Theophilus Enem Aniemeka, Oluwasegun Abiodun Abioye, Abidemi Elizabeth Awujoola, Fiyinfoluwa Ajakaiye, Olayinka Racheal Adelegan. © 2024. 34 pages.
The study explores ResNet-101 CNNs and Haralick texture analysis for leukemia cell detection. Leveraging CLAHE preprocessing and hybrid feature extraction, it enhances model...