Year: 2023
Type: preprint
Abstract: Tuberculosis is a serious and widespread lung disease, not all patients are usually detected. After the availability of high-resolution chest x-rays, deep learning can now provide solutions for the successful detection of this malignant disease and other possible applications in the health sector. In this manuscript, a new deep learning model for Tuberculosis detection using chest x-ray image classification, employing a mixture of two popular pre-trained vgg16 and vgg19 utilizing the ImageNet dataset, and block attention module in order to obtain spatial data. We validate the presented method through experiments on four popular datasets. After evaluating the model on the test set, we achieve a score of 0.9992 for all metrics (accuracy, precision, recall, f1-score).
Source: Research Square
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4320490485