Irina Grigorescu[email protected]Artificial IntelligenceHow deep learning can help predict cancer recurrenceResearchers have shown that a deep-learning algorithm can be used to extract interpretable features from annotation-free histopathology images from prostate cancer patients. Their framework outperformed the prediction of biochemical recurrence using conventional methods.February 13, 2020Page 1 of 1Top StoriesDigital X-RayAustralia shows the way on DBT radiation dose levelsResearchers from Australia have developed the country's first set of local diagnostic reference levels for digital breast tomosynthesis (DBT).Womens ImagingType of breast cancer contributes to AI-mammography missesUltrasoundForeign body imaging: X-ray overused, ultrasound underusedCTIR study: Keep aware of hydrophilic polymer embolizationCTRadiology mourns death of Ireland’s Barry Kelly