Dectra: Thoracic Imaging with Deep Learning - Toward Smarter Healthcare

Thoracic diseases like pneumonia, tuberculosis, lung cancer, and COVID-19 are among the top causes of deaths globally. Early and correct diagnosis is essential for the successful treatment and better patient outcomes. The conventional diagnosis techniques are extremely dependent on radiologists, which is a time-consuming and incorrect process because of the massive amount of data involved in medical imaging. This project aims to design a deep learning-based thoracic imaging system that can automatically identify and diagnose chest diseases from medical images like X-rays and CT scans. The proposed system combines CNNs with secure data management systems to improve the efficiency, accuracy, and reliability of diagnoses. Moreover, the system employs blockchain technology to provide the secure storage and transparency of patients’ medical information. The result shows that deep learning models have the potential to greatly improve the accuracy of identification and the speed of diagnosis, hence making a great contribution to smart healthcare systems.