Classification of Prognosis in Breast Cancer Patients from AMCL Analysis using Machine Learning Techniques
Predicting the development of distant metastasis for breast cancer patients is of high importance for both the patient and the medical staff. The current best method for prediction is the use of handcrafted histopatological features. The aim with this study is to explore how well Additive Multiple Labelling Cytochemistry (AMLC) stained core biopsy images can predict the development of distant meta