Medical Image Anomaly Triage Demonstrator
Chest X-ray and CT scan opacity detector utilizing DenseNet121 with Grad-CAM visual heatmaps for radiologist support.
Project Overview
Classifies 14 pulmonary conditions (pneumonia, pneumothorax, effusion) from DICOM chest X-rays. Generates Grad-CAM visual heatmaps highlighting suspicious anatomical regions to assist clinical triage. ### Practical Student Engineering Solution Fully functional hardware demonstration prototype equipped with dedicated microcontrollers, precision sensors, actuators, and an interactive cloud/mobile telemetry dashboard. ### Key Learning Outcomes - Embedded C / MicroPython firmware architecture and sensor interfacing - IoT telemetry protocols (MQTT / HTTP / BLE / LoRaWAN) - Power regulation, hardware debugging, and PCB design principles - Comprehensive technical documentation aligned with IEEE academic standards
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Medical Image Anomaly Triage Demonstrator.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.