This project’s aim is to automate the processes of detecting and predicting cancer and to make the access to cancer diagnostics available to anyone by using mobile technology. The project application will provide the following functionality:
This project intends to apply artificial neural network (ANN) and mobile technologies for improving cancer diagnostics. The usage of mobile technology enables users to get an early warning of suspicious lesions using their mobile phones and hence creating a patient-centric health management.
The application is planned to consist of the following components:
The data is uploaded from a user’s phone. Proper data are essential for detecting cancer accurately. The classification and prediction results are shown to the user, including visualization.
Data are classified by pre-trained ANN. Classification is used for detecting the cancer lesions. Cancer classification has been carried out by many researchers, but there is still a need to improve classification accuracy.
Possible scenarios of the disease progression. Predictions are also done with another pre-trained ANN. Cancer prognosis is to estimate the fate of cancer, probabilities of cancer recurrence and progression, and to suggest further steps to the patients, e.g., advising to consult a medical doctor for further diagnosis.
The project is likely to use additional machine learning methods besides ANN to improve the accuracy of the results.
Students are encouraged to propose ideas for the system functionality, methods, and algorithms for implementation.
This is a cooperative project with Peter the Great St.Petersburg Polytechnic University.
If you are interested in doing a Bachelor Thesis, Master Project, or Master’s Thesis jointly at TU Graz and St.Petersburg Polytechnic University on this project, please contact Wolfgang Slany wolfgang.slany and Vadim Pak @tugraz.atVadim.Pak. Several students can work in parallel on this project due to its large size. The focus will be on mobile applications, machine learning, as well as software technology. @cit.icc.spbstu.ru