Precise Image-level Localization of Intracranial Hemorrhage on Head CT Scans with Deep Learning Models Trained on Study-level Labels

作者：Yunan Wu, Michael Iorga, Suvarna Badhe, James Zhang, Donald R. Cantrell, Elaine J. Tanhehco, Nicholas Szrama, Andrew M. Naidech, Michael Drakopoulos, Shamis T. Hasan, Kunal Patel, Tarek A. Hijaz, Eric J. Russell, Shamal Lalvani, Amit Adate, Todd B. Parrish, Aggelos K. Katsaggelos, Virginia Hill · 发表于：Radiology Artificial Intelligence · 年份：2024 · DOI：10.1148/ryai.230296 · 被引用次数：9 · 研究领域：Radiomics and Machine Learning in Medical Imaging、Brain Tumor Detection and Classification、Medical Image Segmentation Techniques

To prioritize the reading of noncontrast head CT scans with intracranial hemorrhage, this weakly supervised detection workflow was highly generalizable, with good interpretability, high positive predictive values at the study level, and performance similar to two neuroradiologists.