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Computer Visionadvanced

Research Based Cancer Detection with Explainable AI

ThyroCheck AI is a medical diagnostic tool employing a custom deep learning architecture (FibonacciNet) for the classification of thyroid nodules from ultrasound images. It replicates state-of-the-art research, offering clinicians a precision AI diagnosis with integrated Grad-CAM interpretability and automated report generation.

23 lectures

What You Will Learn

Mastering the implementation of custom neural network architecture(FibonacciNet)
Understanding process and significance of research
Building a Grad-CAM visualization module for explainable AI
Deploying deep learning models using FastAPI and Streamlit
Utilizing Google Cloud Platform for basic deployment
Developing a clinical report generation system using python-docx
Medical Imaging

System Architecture

Research Based Cancer Detection with Explainable AI Architecture Diagram

High-level architecture overview of the Research Based Cancer Detection with Explainable AI .

What You'll Build

  • A thyroid nodule classification system using FibonacciNet
  • A Grad-CAM module for visualizing diagnostic attention
  • An automated clinical report generator
  • A Streamlit dashboard for interactive model testing
  • A FastAPI backend for production deployment
  • Interest for research
  • Foundations of Medical Imaging
Research Based Cancer Detection with Explainable AI
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