Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach
Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach
M. Oloko-Oba,Serestina Viriri
2020 · DOI: 10.1007/978-3-030-59006-2_11
International Conference on Computer Vision and Graphics · 8 Citations
TLDR
A model that employs the use of learning algorithm (Convolutional Neural Network) to effectively learn the features associated with tuberculosis and make corresponding accurate predictions and achieved 87.8% accuracy in classifying chest X-ray into abnormal and normal classes and validated against the ground-truth.