Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
Inconsistency in density assessment of mammograms has been widely recognized for the potential to cause patient anxiety and result in …
Inconsistency in density assessment of mammograms has been widely recognized for the potential to cause patient anxiety and result in …
Recent deep learning (DL) approaches have shown promise in improving sensitivity but have not addressed limitations in radiologist …
The development of an AI-based system for early detection of breast cancer has the ability to predict whether a patient is likely to …
Deep learning models that use full-field mammograms yield substantially improved risk discrimination compared with the Tyrer-Cuzick …
ML is having a huge impact in cancer diagnostics, specifically on the development of novel computational tools for stratification, …