Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine
Support vector machine and local binary pattern
The paper proposed a methodology to detect the lung diseases using the local binary patterns and then further used the SVM technique to classify the type of disease
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
CNN
The work focusses on how thoracic ailments can be discovered and explicitly located with the help of a combined softly supervised multilabelled image sorting and ailment localization framework; the same is verified with the dataset used in the paper