Academic Paper Summary

Detection of Tuberculosis in Radiographs using Deep Learning-based Ensemble Methods.

The first point that need to be discussed at the beginig is to give a brief hint regarding the tuberculosis desise: One of the most horrible diseases with a significant mortality rate is tuberculosis. Mycobacterium Tuberculosis is the bacteria that causes tuberculosis, which primarily makes it difficult to breatheThis acadimic paper explains the methodology of how the deep learning became an integral part in the medical domain, especially in programming the radiographs that detects the tuberculosis using the deep learning-based Ensemble Methods in other words The initial goal of this study was to shorten the time it took for a patient to be diagnosed with tuberculosis- in which the AI has emerged as a viable option for detecting tuberculosis in radiographs. Finally, to explain the process mention previously in a short words: The classification problem under examination is a binary classification of photographs from the dataset provided in Table 1 that are TB positive or normal. The use of SVM classifiers did not produce satisfactory results, thus CNN-based transfer learning models were used instead (Ieeexplore, 2022).