Your main project task is to develop a deep neural network model that can identify metastases in image patches from histological preparations of lymph node tissue from breast cancer patients.
You have to evaluate your model by participating in an open challenge competition where the results will be compared to models developed by other researchers.
The developed method and results from the evaluation should be described in a 4-6 page project report. The audience should be your fellow biomedical engineers.
The report should use the IEEE template available here. The 6 page limit is strict, however, additional information can be provided in an appendix. In addition to the project report, you have to deliver code that can be used to fully reproduce the results described in the report.
The project work is open-ended. This means that you are free to choose which specific methodology you are going to implement.
The four assignments serve as an introduction to the project topic, dataset challenge competition where you have to submit results for evaluation. In addition, assignment 3, provides a minimal working example that can be used as a starting point for the main project work.
The project work will be assessed based based on the assessment rubric provided here.