학술논문
Federated learning enables big data for rare cancer boundary detection
Document Type
article
Author
Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah Sheller; Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Philipp Vollmuth; Gianluca Brugnara; Chandrakanth J. Preetha; Felix Sahm; Klaus Maier-Hein; Maximilian Zenk; Martin Bendszus; Wolfgang Wick; Evan Calabrese; Jeffrey Rudie; Javier Villanueva-Meyer; Soonmee Cha; Madhura Ingalhalikar; Manali Jadhav; Umang Pandey; Jitender Saini; John Garrett; Matthew Larson; Robert Jeraj; Stuart Currie; Russell Frood; Kavi Fatania; Raymond Y. Huang; Ken Chang; Carmen Balaña Quintero; Jaume Capellades; Josep Puig; Johannes Trenkler; Josef Pichler; Georg Necker; Andreas Haunschmidt; Stephan Meckel; Gaurav Shukla; Spencer Liem; Gregory S. Alexander; Joseph Lombardo; Joshua D. Palmer; Adam E. Flanders; Adam P. Dicker; Haris I. Sair; Craig K. Jones; Archana Venkataraman; Meirui Jiang; Tiffany Y. So; Cheng Chen; Pheng Ann Heng; Qi Dou; Michal Kozubek; Filip Lux; Jan Michálek; Petr Matula; Miloš Keřkovský; Tereza Kopřivová; Marek Dostál; Václav Vybíhal; Michael A. Vogelbaum; J. Ross Mitchell; Joaquim Farinhas; Joseph A. Maldjian; Chandan Ganesh Bangalore Yogananda; Marco C. Pinho; Divya Reddy; James Holcomb; Benjamin C. Wagner; Benjamin M. Ellingson; Timothy F. Cloughesy; Catalina Raymond; Talia Oughourlian; Akifumi Hagiwara; Chencai Wang; Minh-Son To; Sargam Bhardwaj; Chee Chong; Marc Agzarian; Alexandre Xavier Falcão; Samuel B. Martins; Bernardo C. A. Teixeira; Flávia Sprenger; David Menotti; Diego R. Lucio; Pamela LaMontagne; Daniel Marcus; Benedikt Wiestler; Florian Kofler; Ivan Ezhov; Marie Metz; Rajan Jain; Matthew Lee; Yvonne W. Lui; Richard McKinley; Johannes Slotboom; Piotr Radojewski; Raphael Meier; Roland Wiest; Derrick Murcia; Eric Fu; Rourke Haas; John Thompson; David Ryan Ormond; Chaitra Badve; Andrew E. Sloan; Vachan Vadmal; Kristin Waite; Rivka R. Colen; Linmin Pei; Murat Ak; Ashok Srinivasan; J. Rajiv Bapuraj; Arvind Rao; Nicholas Wang; Ota Yoshiaki; Toshio Moritani; Sevcan Turk; Joonsang Lee; Snehal Prabhudesai; Fanny Morón; Jacob Mandel; Konstantinos Kamnitsas; Ben Glocker; Luke V. M. Dixon; Matthew Williams; Peter Zampakis; Vasileios Panagiotopoulos; Panagiotis Tsiganos; Sotiris Alexiou; Ilias Haliassos; Evangelia I. Zacharaki; Konstantinos Moustakas; Christina Kalogeropoulou; Dimitrios M. Kardamakis; Yoon Seong Choi; Seung-Koo Lee; Jong Hee Chang; Sung Soo Ahn; Bing Luo; Laila Poisson; Ning Wen; Pallavi Tiwari; Ruchika Verma; Rohan Bareja; Ipsa Yadav; Jonathan Chen; Neeraj Kumar; Marion Smits; Sebastian R. van der Voort; Ahmed Alafandi; Fatih Incekara; Maarten M. J. Wijnenga; Georgios Kapsas; Renske Gahrmann; Joost W. Schouten; Hendrikus J. Dubbink; Arnaud J. P. E. Vincent; Martin J. van den Bent; Pim J. French; Stefan Klein; Yading Yuan; Sonam Sharma; Tzu-Chi Tseng; Saba Adabi; Simone P. Niclou; Olivier Keunen; Ann-Christin Hau; Martin Vallières; David Fortin; Martin Lepage; Bennett Landman; Karthik Ramadass; Kaiwen Xu; Silky Chotai; Lola B. Chambless; Akshitkumar Mistry; Reid C. Thompson; Yuriy Gusev; Krithika Bhuvaneshwar; Anousheh Sayah; Camelia Bencheqroun; Anas Belouali; Subha Madhavan; Thomas C. Booth; Alysha Chelliah; Marc Modat; Haris Shuaib; Carmen Dragos; Aly Abayazeed; Kenneth Kolodziej; Michael Hill; Ahmed Abbassy; Shady Gamal; Mahmoud Mekhaimar; Mohamed Qayati; Mauricio Reyes; Ji Eun Park; Jihye Yun; Ho Sung Kim; Abhishek Mahajan; Mark Muzi; Sean Benson; Regina G. H. Beets-Tan; Jonas Teuwen; Alejandro Herrera-Trujillo; Maria Trujillo; William Escobar; Ana Abello; Jose Bernal; Jhon Gómez; Joseph Choi; Stephen Baek; Yusung Kim; Heba Ismael; Bryan Allen; John M. Buatti; Aikaterini Kotrotsou; Hongwei Li; Tobias Weiss; Michael Weller; Andrea Bink; Bertrand Pouymayou; Hassan F. Shaykh; Joel Saltz; Prateek Prasanna; Sampurna Shrestha; Kartik M. Mani; David Payne; Tahsin Kurc; Enrique Pelaez; Heydy Franco-Maldonado; Francis Loayza; Sebastian Quevedo; Pamela Guevara; Esteban Torche; Cristobal Mendoza; Franco Vera; Elvis Ríos; Eduardo López; Sergio A. Velastin; Godwin Ogbole; Mayowa Soneye; Dotun Oyekunle; Olubunmi Odafe-Oyibotha; Babatunde Osobu; Mustapha Shu’aibu; Adeleye Dorcas; Farouk Dako; Amber L. Simpson; Mohammad Hamghalam; Jacob J. Peoples; Ricky Hu; Anh Tran; Danielle Cutler; Fabio Y. Moraes; Michael A. Boss; James Gimpel; Deepak Kattil Veettil; Kendall Schmidt; Brian Bialecki; Sailaja Marella; Cynthia Price; Lisa Cimino; Charles Apgar; Prashant Shah; Bjoern Menze; Jill S. Barnholtz-Sloan; Jason Martin; Spyridon Bakas
Source
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.