Deep Learning-Based Medical Image Diagnosis System
About Course
- Tech Stack: Python (PyTorch, TensorFlow), Flask, Docker, Kubernetes, GCP (AI Platform, Cloud Functions)
- Objective: Build an AI-based system that diagnoses diseases from medical images (e.g., X-rays, MRIs) using convolutional neural networks (CNNs). The model will classify diseases with high accuracy and be deployed on the cloud for remote diagnosis services.
- Skills Needed: Deep learning (CNNs, transfer learning), medical image data, cloud deployment (GCP), scalable API development, Kubernetes for large-scale deployment.
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