Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction

Article Abstract Obtaining datasets labeled to facilitate model development is a challenge for most machine learning tasks. The difficulty is heightened for medical imaging, where data itself is limited in accessibility and labeling requires costly time and effort by trained medical specialists. Medical imaging studies, however, are often accompanied by a medical report produced by […]