Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

At the San Antonio Breast Cancer Symposium, researchers presented findings on Clarity BCR, a multimodal multitask deep-learning algorithm that aims to estimate late distant recurrence risk in hormone ...