Hybrid ViT-CNN for Brain Tumor Diagnosis AI Model Developer
OtherDiagnosis
Engineered a hybrid ViT-CNN model for brain tumor diagnosis using 3D MRI scans. Implemented Explainable AI techniques to generate interpretable heatmaps and assist in accurate tumor localization. Fine-tuned transformer models on MRI datasets for improved multi-class tumor classification performance.
• Labeled and categorized MRI images to identify tumor types and regions.
• Generated attention-based diagnostic heatmaps using Grad-CAM for model interpretability.
• Utilized publicly available Kaggle MRI datasets for data training and annotation.
• Collaborated with clinicians to ensure labeled data supported reliable medical diagnosis.
Engineered a hybrid ViT-CNN model for brain tumor diagnosis using 3D MRI scans. Implemented Explainable AI techniques to generate interpretable heatmaps and assist in accurate tumor localization. Fine-tuned transformer models on MRI datasets for improved multi-class tumor classification performance. • Labeled and categorized MRI images to identify tumor types and regions. • Generated attention-based diagnostic heatmaps using Grad-CAM for model interpretability. • Utilized publicly available Kaggle MRI datasets for data training and annotation. • Collaborated with clinicians to ensure labeled data supported reliable medical diagnosis.
2025 - Present