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This computer-aided diagnosis (CAD) software (MATLAB toolbox) has been developed for automated prediction of tuberculosis (TB) from chest X-ray (CXRs) of patients. This toolbox was developed by incorporating more diversified global features extraction methods such as Gist and PHOG. It is effective in discriminating between CXR(s) of non-TB and TB patients. It contains two modules: Training and Prediction Modules. The latter (Prediction Module) predicts input digital CXR(s) image as TB or non-TB so it will useful for general user. ...
Version 1.0
This code gives a computerized diagnosis of Multi Drug Resistant Tuberculosis. It automatically processes large batches of test strips increasing efficiency and minimizing human error.
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