Going to Extremes: Weakly Supervised Medical Image Segmentation

Autor: Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu

Publikováno v: Machine Learning and Knowledge Extraction, Vol 3, Iss 2, Pp 507-524 (2021)

Medical image annotation is a major hurdle for developing precise and robust machine-learning models. Annotation is expensive, time-consuming, and often requires expert knowledge, particularly in the medical field. Here, we suggest using minimal user

Externí odkaz: https://doaj.org/article/b17c707add094b1a970301c0e3fa99bf

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Autor: Maxime Blain, Michael T. Kassin, Nicole Varble, Xiaosong Wang, Ziyue Xu, Daguang Xu, Gianpaolo Carrafiello, Valentina Vespro, Elvira Stellato, Anna Maria Ierardi, Letizia Di Meglio, Robert D. Suh, Stephanie A. Walker, Sheng Xu, Thomas H. Sanford, Evrim B. Turkbey, Stephanie Harmon, Baris Turkbey, Bradford J. Wood

Publikováno v: Diagnostic and Interventional Radiology, Vol 27, Iss 1, Pp 20-27 (2021)

PURPOSEChest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assist with the development or validation of automated image analysis tools. We aimed to identify associat

Externí odkaz: https://doaj.org/article/a50fc269bfff4b88b1e67a02b77dd973

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Autor: Stephanie A. Harmon, Thomas H. Sanford, Sheng Xu, Evrim B. Turkbey, Holger Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Amel Amalou, Maxime Blain, Michael Kassin, Dilara Long, Nicole Varble, Stephanie M. Walker, Ulas Bagci, Anna Maria Ierardi, Elvira Stellato, Guido Giovanni Plensich, Giuseppe Franceschelli, Cristiano Girlando, Giovanni Irmici, Dominic Labella, Dima Hammoud, Ashkan Malayeri, Elizabeth Jones, Ronald M. Summers, Peter L. Choyke, Daguang Xu, Mona Flores, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Francesca Patella, Maurizio Cariati, Gianpaolo Carrafiello, Peng An, Bradford J. Wood, Baris Turkbey

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)

Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Here, the authors present a multinational study on the application of deep learning algorithms for COVID-19 diagnosis against multiple lun

Externí odkaz: https://doaj.org/article/6f9c98cf760e4d96a63cb5040206bc04

Federated learning for predicting clinical outcomes in patients with COVID-19

Autor: Jiahui Guan, Krishna Juluru, Yothin Rakvongthai, Benjamin S. Glicksberg, Watsamon Jantarabenjakul, Li-Chen Fu, Mike Fralick, Anthony Costa, Quanzheng Li, Andrew Feng, Eric K. Oermann, Joshua D. Kaggie, Xihong Lin, Pedro Mário Cruz e Silva, Deepeksha Bhatia, Byung Seok Kim, Hitoshi Mori, Pablo F. Damasceno, Peiying Ruan, Yuhong Wen, Hao-Hsin Shin, Amilcare Gentili, Weichung Wang, Chiu-Ling Lai, Jason C. Crane, Andrew N. Priest, Soo-Young Park, Peerapon Vateekul, Matheus Ribeiro Furtado de Mendonça, Gustavo César de Antônio Corradi, Griffin Lacey, Meena AbdelMaseeh, Yu Rim Lee, Tatsuya Kodama, Pierre Elnajjar, Krishna Nand Keshava Murthy, Xiang Li, Evan Leibovitz, Vitor Lavor, Christopher P. Hess, Colin B. Compas, Stefan Gräf, Masoom A. Haider, Daguang Xu, Nicola Rieke, Thanyawee Puthanakit, Sarah E Hickman, Hui Ren, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Jung Gil Park, Jesse Tetreault, Hisashi Sasaki, Min Kyu Kang, Won Young Tak, Chun-Nan Hsu, Fiona J. Gilbert, Chin Lin, Varun Buch, Felipe Kitamura, Tony Mazzulli, Eddie Huang, Abood Quraini, Shelley McLeod, Young Joon Kwon, Gustavo Nino, Dufan Wu, Chien-Sung Tsai, Mona Flores, Baris Turkbey, Sira Sriswasdi, Pochuan Wang, Mohammad Adil, Aoxiao Zhong, Chih-Hung Wang, Sheng Xu, C. K. Lee, Isaac Yang, Marius George Linguraru, Holger R. Roth, Chia-Jung Hsu, Anas Z. Abidin, Thomas M. Grist, Hirofumi Obinata, Sheridan Reed, Andrew Liu, Ahmed Harouni, Natalie Gangai, Ittai Dayan, Kristopher Kersten, Stephanie Harmon, Jae Ho Sohn, John Garrett, Bradford J. Wood, Sharmila Majumdar, Bernardo Bizzo, Shuichi Kawano, Keith J. Dreyer, Carlos Tor-Díez, Chia-Cheng Lee

Publikováno v: Nature Medicine. 27:1735-1743

Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c204df8c07fd165584f2de19871d49b1
https://doi.org/10.1038/s41591-021-01506-3

Going to Extremes: Weakly Supervised Medical Image Segmentation

Autor: Dong Yang, Daguang Xu, Xiaosong Wang, Ziyue Xu, Holger R. Roth

Publikováno v: Machine Learning and Knowledge Extraction
Volume 3
Issue 2
Pages 26-524
Machine Learning and Knowledge Extraction, Vol 3, Iss 26, Pp 507-524 (2021)

Medical image annotation is a major hurdle for developing precise and robust machine learning models. Annotation is expensive, time-consuming, and often requires expert knowledge, particularly in the medical field. Here, we suggest using minimal user

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a833a803cb6cf19879fef7d4e342131
https://doi.org/10.3390/make3020026