D.I.Agnóstica: CADx Tool for Lung Disease Diagnosis in Radiological Images

• José V. L. Gonçalves UFCA
• Diego V. de Souza UFCA
• Cicero I. A. T. dos Santos UFCA
• Carlos E. T. do Nascimento UFCA
• Luana B. da Cruz UFCA
• Domingos A. D. Junior UFCA
• João O. B. Diniz IFMA

DOI: https://doi.org/10.5753/sbcas.2024.2159

Abstract

Diagnosing lung diseases in chest X-rays is challenging due to variations in clinical presentation and subjectivity in interpretation. This study describes the development of a computer-aided diagnosis tool (CADx) designed to assist physicians in diagnosing lung diseases. The tool was built using a deep learning model for the classification of various pulmonary conditions. Additionally, a web application was developed to streamline access and effective utilization of the model, incorporating features for clinic and professional registration. This promising approach aims to improve diagnostic accuracy and contribute to the advancement of medicine and healthcare system optimization.

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