We propose processing and detection whether there is presence of disease or not. The application will train itself from previous CT scan images. We will try to take as many numbers of images as possible for the purpose of application's training.
After the training has successfully completed, the tool will be fed/inputted with a CT scan image on which we may also perform some image pre-processing operations.
Using machine-learning with the help of training, our application will detect whether the inputted CT scan image is of cancerous or healthy human organ.
The output-accuracy of cancer detection shall be dependent upon training data and the quality or resolution of inputted image. In other words, if the training data is insufficient/incorrect OR the inputted. CT scan image is distorted/of low-quality, the output could be incorrect.