Nigerian Researcher Develops Deep Learning Model for Brain Cancer Diagnosis

Nigerian researcher Tobi Titu Oyekanmi, along with a multidisciplinary team, unveils a deep learning model to transform brain cancer diagnosis by interpreting MRI scans using a lightweight yet powerful neural network. The model achieves 98% diagnostic accuracy, surpassing expert radiologists, with over 95% precision and recall rates across tumor types.

Oyekanmi's research, published in the American Academy of Scientific Research Journal, addresses the challenges of manual interpretation of MRI scans, offering a cost-effective solution for accurate brain cancer diagnosis.