Skip to search
Skip to main content
Back to Search
Start Over
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Authors :
Pati, Sarthak Baid, Ujjwal Edwards, Brandon Sheller, Micah Wang, Shih-Han Reina, G Anthony Foley, Patrick Gruzdev, Alexey Karkada, Deepthi Davatzikos, Christos Sako, Chiharu Ghodasara, Satyam Bilello, Michel Mohan, Suyash Vollmuth, Philipp Brugnara, Gianluca Preetha, Chandrakanth J Sahm, Felix Maier-Hein, Klaus Zenk, Maximilian Bendszus, Martin Wick, Wolfgang Calabrese, Evan Rudie, Jeffrey Villanueva-Meyer, Javier Cha, Soonmee Ingalhalikar, Madhura Jadhav, Manali Pandey, Umang Saini, Jitender Garrett, John Larson, Matthew Jeraj, Robert Currie, Stuart Frood, Russell Fatania, Kavi Huang, Raymond Y Chang, Ken Balana, Carmen Capellades, Jaume Puig, Josep Trenkler, Johannes Pichler, Josef Necker, Georg Haunschmidt, Andreas Meckel, Stephan Shukla, Gaurav Liem, Spencer Alexander, Gregory S Lombardo, Joseph Palmer, Joshua D Flanders, Adam E Dicker, Adam P Sair, Haris I Jones, Craig K Venkataraman, Archana Jiang, Meirui So, Tiffany Y Chen, Cheng Heng, Pheng Ann Dou, Qi Kozubek, Michal Lux, Filip Michálek, Jan Matula, Petr Keřkovský, Miloš Kopřivová, Tereza Dostál, Marek Vybíhal, Václav Vogelbaum, Michael A Mitchell, J Ross Farinhas, Joaquim Maldjian, Joseph A Yogananda, Chandan Ganesh Bangalore Pinho, Marco C Reddy, Divya Holcomb, James Wagner, Benjamin C Ellingson, Benjamin M Cloughesy, Timothy F Raymond, Catalina Oughourlian, Talia Hagiwara, Akifumi Wang, Chencai To, Minh-Son Bhardwaj, Sargam Chong, Chee Agzarian, Marc Falcão, Alexandre Xavier Martins, Samuel B Teixeira, Bernardo C A Sprenger, Flávia Menotti, David Lucio, Diego R LaMontagne, Pamela Marcus, Daniel Wiestler, Benedikt Kofler, Florian Ezhov, Ivan Metz, Marie Jain, Rajan Lee, Matthew Lui, Yvonne W McKinley, Richard Slotboom, Johannes Radojewski, Piotr Meier, Raphael Wiest, Roland Murcia, Derrick Fu, Eric Haas, Rourke Thompson, John Ormond, David Ryan Badve, Chaitra Sloan, Andrew E Vadmal, Vachan Waite, Kristin Colen, Rivka R Pei, Linmin Ak, Murat Srinivasan, Ashok Bapuraj, J Rajiv Rao, Arvind Wang, Nicholas Yoshiaki, Ota Moritani, Toshio Turk, Sevcan Lee, Joonsang Prabhudesai, Snehal Morón, Fanny Mandel, Jacob Kamnitsas, Konstantinos Glocker, Ben Dixon, Luke V M Williams, Matthew Zampakis, Peter Panagiotopoulos, Vasileios Tsiganos, Panagiotis Alexiou, Sotiris Haliassos, Ilias Zacharaki, Evangelia I Moustakas, Konstantinos Kalogeropoulou, Christina Kardamakis, Dimitrios M Choi, Yoon Seong Lee, Seung-Koo Chang, Jong Hee Ahn, Sung Soo Luo, Bing Poisson, Laila Wen, Ning Tiwari, Pallavi Verma, Ruchika Bareja, Rohan Yadav, Ipsa Chen, Jonathan Kumar, Neeraj Smits, Marion van der Voort, Sebastian R Alafandi, Ahmed Incekara, Fatih Wijnenga, Maarten MJ Kapsas, Georgios Gahrmann, Renske Schouten, Joost W Dubbink, Hendrikus J Vincent, Arnaud JPE Bent, Martin J van den French, Pim J Klein, Stefan Yuan, Yading Sharma, Sonam Tseng, Tzu-Chi Adabi, Saba Niclou, Simone P Keunen, Olivier Hau, Ann-Christin Vallières, Martin Fortin, David Lepage, Martin Landman, Bennett Ramadass, Karthik Xu, Kaiwen Chotai, Silky Chambless, Lola B Mistry, Akshitkumar Thompson, Reid C Gusev, Yuriy Bhuvaneshwar, Krithika Sayah, Anousheh Bencheqroun, Camelia Belouali, Anas Madhavan, Subha Booth, Thomas C Chelliah, Alysha Modat, Marc Shuaib, Haris Dragos, Carmen Abayazeed, Aly Kolodziej, Kenneth Hill, Michael Abbassy, Ahmed Gamal, Shady Mekhaimar, Mahmoud Qayati, Mohamed Reyes, Mauricio Park, Ji Eun Yun, Jihye Kim, Ho Sung Mahajan, Abhishek Muzi, Mark Benson, Sean Beets-Tan, Regina G H Teuwen, Jonas Herrera-Trujillo, Alejandro Trujillo, Maria Escobar, William Abello, Ana Bernal, Jose Gómez, Jhon Choi, Joseph Baek, Stephen Kim, Yusung Ismael, Heba Allen, Bryan Buatti, John M Kotrotsou, Aikaterini Li, Hongwei Weiss, Tobias Weller, Michael Bink, Andrea Pouymayou, Bertrand Shaykh, Hassan F Saltz, Joel Prasanna, Prateek Shrestha, Sampurna Mani, Kartik M Payne, David Kurc, Tahsin Pelaez, Enrique Franco-Maldonado, Heydy Loayza, Francis Quevedo, Sebastian Guevara, Pamela Torche, Esteban Mendoza, Cristobal Vera, Franco Ríos, Elvis López, Eduardo Velastin, Sergio A Ogbole, Godwin Oyekunle, Dotun Odafe-Oyibotha, Olubunmi Osobu, Babatunde Shu'aibu, Mustapha Dorcas, Adeleye Soneye, Mayowa Dako, Farouk Simpson, Amber L Hamghalam, Mohammad Peoples, Jacob J Hu, Ricky Tran, Anh Cutler, Danielle Moraes, Fabio Y Boss, Michael A Gimpel, James Veettil, Deepak Kattil Schmidt, Kendall Bialecki, Brian Marella, Sailaja Price, Cynthia Cimino, Lisa Apgar, Charles Shah, Prashant Menze, Bjoern Barnholtz-Sloan, Jill S Martin, Jason Bakas, Spyridon Pati, Sarthak Baid, Ujjwal Edwards, Brandon Sheller, Micah Wang, Shih-Han Reina, G Anthony Foley, Patrick Gruzdev, Alexey Karkada, Deepthi Davatzikos, Christos Sako, Chiharu Ghodasara, Satyam Bilello, Michel Mohan, Suyash Vollmuth, Philipp Brugnara, Gianluca Preetha, Chandrakanth J Sahm, Felix Maier-Hein, Klaus Zenk, Maximilian Bendszus, Martin Wick, Wolfgang Calabrese, Evan Rudie, Jeffrey Villanueva-Meyer, Javier Cha, Soonmee Ingalhalikar, Madhura Jadhav, Manali Pandey, Umang Saini, Jitender Garrett, John Larson, Matthew Jeraj, Robert Currie, Stuart Frood, Russell Fatania, Kavi Huang, Raymond Y Chang, Ken Balana, Carmen Capellades, Jaume Puig, Josep Trenkler, Johannes Pichler, Josef Necker, Georg Haunschmidt, Andreas Meckel, Stephan Shukla, Gaurav Liem, Spencer Alexander, Gregory S Lombardo, Joseph Palmer, Joshua D Flanders, Adam E Dicker, Adam P Sair, Haris I Jones, Craig K Venkataraman, Archana Jiang, Meirui So, Tiffany Y Chen, Cheng Heng, Pheng Ann Dou, Qi Kozubek, Michal Lux, Filip Michálek, Jan Matula, Petr Keřkovský, Miloš Kopřivová, Tereza Dostál, Marek Vybíhal, Václav Vogelbaum, Michael A Mitchell, J Ross Farinhas, Joaquim Maldjian, Joseph A Yogananda, Chandan Ganesh Bangalore Pinho, Marco C Reddy, Divya Holcomb, James Wagner, Benjamin C Ellingson, Benjamin M Cloughesy, Timothy F Raymond, Catalina Oughourlian, Talia Hagiwara, Akifumi Wang, Chencai To, Minh-Son Bhardwaj, Sargam Chong, Chee Agzarian, Marc Falcão, Alexandre Xavier Martins, Samuel B Teixeira, Bernardo C A Sprenger, Flávia Menotti, David Lucio, Diego R LaMontagne, Pamela Marcus, Daniel Wiestler, Benedikt Kofler, Florian Ezhov, Ivan Metz, Marie Jain, Rajan Lee, Matthew Lui, Yvonne W McKinley, Richard Slotboom, Johannes Radojewski, Piotr Meier, Raphael Wiest, Roland Murcia, Derrick Fu, Eric Haas, Rourke Thompson, John Ormond, David Ryan Badve, Chaitra Sloan, Andrew E Vadmal, Vachan Waite, Kristin Colen, Rivka R Pei, Linmin Ak, Murat Srinivasan, Ashok Bapuraj, J Rajiv Rao, Arvind Wang, Nicholas Yoshiaki, Ota Moritani, Toshio Turk, Sevcan Lee, Joonsang Prabhudesai, Snehal Morón, Fanny Mandel, Jacob Kamnitsas, Konstantinos Glocker, Ben Dixon, Luke V M Williams, Matthew Zampakis, Peter Panagiotopoulos, Vasileios Tsiganos, Panagiotis Alexiou, Sotiris Haliassos, Ilias Zacharaki, Evangelia I Moustakas, Konstantinos Kalogeropoulou, Christina Kardamakis, Dimitrios M Choi, Yoon Seong Lee, Seung-Koo Chang, Jong Hee Ahn, Sung Soo Luo, Bing Poisson, Laila Wen, Ning Tiwari, Pallavi Verma, Ruchika Bareja, Rohan Yadav, Ipsa Chen, Jonathan Kumar, Neeraj Smits, Marion van der Voort, Sebastian R Alafandi, Ahmed Incekara, Fatih Wijnenga, Maarten MJ Kapsas, Georgios Gahrmann, Renske Schouten, Joost W Dubbink, Hendrikus J Vincent, Arnaud JPE Bent, Martin J van den French, Pim J Klein, Stefan Yuan, Yading Sharma, Sonam Tseng, Tzu-Chi Adabi, Saba Niclou, Simone P Keunen, Olivier Hau, Ann-Christin Vallières, Martin Fortin, David Lepage, Martin Landman, Bennett Ramadass, Karthik Xu, Kaiwen Chotai, Silky Chambless, Lola B Mistry, Akshitkumar Thompson, Reid C Gusev, Yuriy Bhuvaneshwar, Krithika Sayah, Anousheh Bencheqroun, Camelia Belouali, Anas Madhavan, Subha Booth, Thomas C Chelliah, Alysha Modat, Marc Shuaib, Haris Dragos, Carmen Abayazeed, Aly Kolodziej, Kenneth Hill, Michael Abbassy, Ahmed Gamal, Shady Mekhaimar, Mahmoud Qayati, Mohamed Reyes, Mauricio Park, Ji Eun Yun, Jihye Kim, Ho Sung Mahajan, Abhishek Muzi, Mark Benson, Sean Beets-Tan, Regina G H Teuwen, Jonas Herrera-Trujillo, Alejandro Trujillo, Maria Escobar, William Abello, Ana Bernal, Jose Gómez, Jhon Choi, Joseph Baek, Stephen Kim, Yusung Ismael, Heba Allen, Bryan Buatti, John M Kotrotsou, Aikaterini Li, Hongwei Weiss, Tobias Weller, Michael Bink, Andrea Pouymayou, Bertrand Shaykh, Hassan F Saltz, Joel Prasanna, Prateek Shrestha, Sampurna Mani, Kartik M Payne, David Kurc, Tahsin Pelaez, Enrique Franco-Maldonado, Heydy Loayza, Francis Quevedo, Sebastian Guevara, Pamela Torche, Esteban Mendoza, Cristobal Vera, Franco Ríos, Elvis López, Eduardo Velastin, Sergio A Ogbole, Godwin Oyekunle, Dotun Odafe-Oyibotha, Olubunmi Osobu, Babatunde Shu'aibu, Mustapha Dorcas, Adeleye Soneye, Mayowa Dako, Farouk Simpson, Amber L Hamghalam, Mohammad Peoples, Jacob J Hu, Ricky Tran, Anh Cutler, Danielle Moraes, Fabio Y Boss, Michael A Gimpel, James Veettil, Deepak Kattil Schmidt, Kendall Bialecki, Brian Marella, Sailaja Price, Cynthia Cimino, Lisa Apgar, Charles Shah, Prashant Menze, Bjoern Barnholtz-Sloan, Jill S Martin, Jason Bakas, Spyridon
Publication Year :
2022
Abstract
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing.<br />Comment: federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS