WebFollow. Matthew P Lungren. Stanford University. Verified email at stanford.edu. Deep Learning Healthcare Machine Learning Radiology Global Health. Title. Web20 citations. Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection. Shih-Cheng …
Machine Vision, Medical AI, and Malpractice - Harvard Journal of …
Web21 jul. 2024 · Shih-Cheng Huang (Mars), Liyue Shen, Matthew P. Lungren, Serena Yeung Stanford University Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2024 . Approach. Usage. Start by installing PyTorch 1.7.1 with the right CUDA version, then clone this repository and install the dependencies. Web2 mrt. 2024 · Deep learning has enabled automated medical image interpretation at a level often surpassing that of practicing medical experts. However, many clinical practices have cited a lack of model interpretability as reason to delay the use of “black-box” deep neural networks in clinical workflows. Saliency maps, which “explain” a model’s decision by … hesarin ilmestyminen
MIMIC-CXR-JPG, a large publicly available database of …
Web12 dec. 2024 · Measurement(s) Radiograph • investigation results report Technology Type(s) Chest Radiography • digital curation • Radiologist Sample Characteristic - … WebMatthew Lungren This paper explores cutting-edge deep learning methods for information extraction from medical imaging free text reports at a multi-institutional scale and … Web28 aug. 2024 · Matthew P. Lungren Stanford University - Center for Artificial Intelligence in Medicine and Imaging; Stanford University, School of Medicine, Center for Population Health Sciences, Department of Biomedical Data Science Pranav Rajpurkar Stanford University - Department of Computer Science Date Written: January 21, 2024 Abstract hesari mielipidekirjoitus