Automated APP Detection

Automating Detection of APP Abnormalities in Porcine Brain Histology for Post- Traumatic Epilepsy Analysis Undergraduate Researcher, Advisor: Prof. Ragini Verma - Implemented an automated image annotation pipeline for analyzing Amyloid Precursor Protein (APP) in pig brain histology, significantly reducing manual annotation time and computational resources through efficient tiling and preprocessing techniques. - Developed a fine-tuned Segformer model for detecting injury patterns in fornix and fimbria regions, incorporating histogram normalization and handling high-resolution histology images (78064 x 65075) with memory optimization.