I will build a medical image classification ai model using deep learning

Healthcare and scientific imaging demand more rigor than a typical Fiverr "image classifier" gig a model that just reports high accuracy without proper validation isn't safe to use, and most sellers here don't understand that. I build medical/scientific image classification models using transfer learning (EfficientNet, ResNet) in PyTorch, with a real evaluation methodology: accuracy, precision, recall, F1-score, and confusion matrices not just a single accuracy number.

I've built and evaluated a four-class blood cell cancer classifier this way, achieving strong classification metrics and deploying it through a Flask/FastAPI interface for real-time predictions.

What I can help with: cell/tissue classification, disease detection from scans (X-ray, MRI, histopathology), skin lesion classification, plant/crop disease detection, or any scientific image classification task where you need a defensible, well-evaluated model not just a black box.

Important: This is a research/development tool, not a certified medical device. Results are not a substitute for professional clinical diagnosis, and I'll include a responsible-use disclaimer in every delivery.