Article
作者: Hadi, Mohiuddin ; Vazirabad, Maryam ; Hutchins, Troy ; Rushton, Christopher ; Lin, Hui-Ming ; Uytana, Vinson L. ; McNamara, Megan ; Altinmakas, Emre ; de Oliveira, Eduardo Portela ; Chung, Charlotte Yuk-Yan ; Chan, Ling Ling ; von Fischer, Nathaniel ; Uytana, Vinson Louis ; Seifert, Kim ; Sho, Jason ; Ting, Yonghan ; Farina, Eduardo Moreno Júdice de Mattos ; Angkurawaranon, Salita ; Hakim, Arsany ; Choudhary, Gagandeep ; Sollmann, Nico ; Kitamura, Felipe ; Somasundaram, Arjuna ; Farage, Luciano ; Prevedello, Luciano M. ; Berg, Nedim Kruscica ; Suri, Abhinav ; Peoples, Jacob ; Soderlund, Karl ; Trivedi, Hari ; Ball, Robyn L. ; Kuriki, Paulo Eduardo de Aguiar ; Vu, David ; Bulja, Deniz ; Chong, Le Roy ; Mongan, John ; Chan, Lai Peng ; Nassanga, Rita ; Sommer, Jennifer ; Kendell, Anne ; Dola, Venkata Naga Srinivas ; Colak, Errol ; Montaño, Mariana Sanchez ; Flanders, Adam E. ; Anwar, Shayan Sirat Maheen ; Ortiz, Johanna ; Muthukumarasamy, Mary Niroshinee ; Andersen, Scott R. ; Dola, Venkata N. S. ; Lincoln, Christie ; Islam, Omar ; Waters, Conor ; Spahović, Naida ; Talbott, Jason F. ; Diaz, Facundo Nahuel ; Kam, Anthony ; Bathla, Girish ; D’Anna, Gennaro ; Low, Keynes ; Hoeffner, Ellen ; Mitchell, Lex A. ; Zohrabian, Vahe M. ; Vlok, Sucari ; Hussain, Ali Haikal ; Clemente, Jonathan D. ; Cruciata, Giuseppe ; Richards, Tyler J. ; Singh, Achint Kumar ; Moron, Fanny ; Ikuta, Ichiro ; Wentland, Andrew ; Masum, Rukya Ali ; Harris, Johnathon ; Chew, Kian Ming ; Dogan, Hakan ; Murphy, Daniel ; Jiang, Sirui ; Hadzalic, Damir ; Hollander, Michael ; Go, John L. ; Rahim, Nurul Hafidzah Binti ; Siakallis, Loizos ; Caminha Nunes, Eduardo ; Schwartz, Eric D. ; Rizwan, Arsalan P. ; Capera, Angela Guarnizo ; Paruk, Nafisa ; Chowdhury, Rahin ; Lim, Tze Chwan ; Yue, Jianwei ; Ormsby, Jacob ; Yost, Samantha ; Kanthawang, Thanat ; Shah, Lubdha ; Nath, Jaya ; Brassil, Michael ; Bailey, Katie
The RSNA Lumbar Degenerative Imaging Spine Classification dataset is the largest publicly available adult MRI lumbar spine dataset for degenerative disease. The dataset includes multisequence, multiplanar MRI scans from 2697 patients through contributions from eight institutions across six countries and five continents.