Web15 mrt. 2024 · Dr. Matthew P. Lungren, Department of Radiology, Stanford School of Medicine, Stanford, CA Pranav Rajpurkar, Stanford Department of Computer Science, Stanford, CA Recommended Citation Web31 okt. 2024 · TorchXRayVision: A library of chest X-ray datasets and models. Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand. TorchXRayVision is an open source software library for working with chest X …
Machine Vision, Medical AI, and Malpractice by Zach Harned, Matthew P …
Web16 okt. 2024 · Shih-Cheng Huang & Matthew P. Lungren Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, USA Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee ... Web24 apr. 2024 · Shih-Cheng Huang, Imon Banerjee & Matthew P. Lungren. Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, CA, USA. sccm reporting permissions
Deep learning saliency maps do not accurately highlight ... - medRxiv
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 … WebMatthew Lungren Advances in artificial intelligence (AI) and computer vision hold great promise for assisting medical staff, optimizing healthcare workflow, and improving patient … Web28 aug. 2024 · Matthew P. Lungren. Stanford University - Center for Artificial Intelligence in Medicine and Imaging; Stanford University, School of Medicine, Center for Population … sccm report hardware inventory