Zobrazeno 1 - 10
of 18 920
pro vyhledávání: '"pediatric brain tumor"'
Autor:
Bengtsson, Max, Keles, Elif, Durak, Gorkem, Anwar, Syed, Velichko, Yuri S., Linguraru, Marius G., Waanders, Angela J., Bagci, Ulas
In this paper, we present a novel approach for segmenting pediatric brain tumors using a deep learning architecture, inspired by expert radiologists' segmentation strategies. Our model delineates four distinct tumor labels and is benchmarked on a hel
Externí odkaz:
http://arxiv.org/abs/2411.01390
Autor:
Ketabi, Sara, Wagner, Matthias W., Hawkins, Cynthia, Tabori, Uri, Ertl-Wagner, Birgit Betina, Khalvati, Farzad
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis from magnetic resonance imaging (MRI), their integration into the clinical workflow has been limited. That is mainly due to the fact that the features
Externí odkaz:
http://arxiv.org/abs/2411.00609
Autor:
Tampu, Iulian Emil, Nyman, Per, Spyretos, Christoforos, Blystad, Ida, Shamikh, Alia, Prochazka, Gabriela, de Ståhl, Teresita Díaz, Sandgren, Johanna, Lundberg, Peter, Haj-Hosseini, Neda
Brain tumors are the most common solid tumors in children and young adults, but the scarcity of large histopathology datasets has limited the application of computational pathology in this group. This study implements two weakly supervised multiple-i
Externí odkaz:
http://arxiv.org/abs/2409.01330
Autor:
Kazerooni, Anahita Fathi, Khalili, Nastaran, Liu, Xinyang, Haldar, Debanjan, Jiang, Zhifan, Zapaishchykova, Anna, Pavaine, Julija, Shah, Lubdha M., Jones, Blaise V., Sheth, Nakul, Prabhu, Sanjay P., McAllister, Aaron S., Tu, Wenxin, Nandolia, Khanak K., Rodriguez, Andres F., Shaikh, Ibraheem Salman, Montano, Mariana Sanchez, Lai, Hollie Anne, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Anderson, Hannah, Anwar, Syed Muhammed, Aristizabal, Alejandro, Bagheri, Sina, Baid, Ujjwal, Bergquist, Timothy, Borja, Austin J., Calabrese, Evan, Chung, Verena, Conte, Gian-Marco, Eddy, James, Ezhov, Ivan, Familiar, Ariana M., Farahani, Keyvan, Gandhi, Deep, Gottipati, Anurag, Haldar, Shuvanjan, Iglesias, Juan Eugenio, Janas, Anastasia, Elaine, Elaine, Karargyris, Alexandros, Kassem, Hasan, Khalili, Neda, Kofler, Florian, LaBella, Dominic, Van Leemput, Koen, Li, Hongwei B., Maleki, Nazanin, Meier, Zeke, Menze, Bjoern, Moawad, Ahmed W., Pati, Sarthak, Piraud, Marie, Poussaint, Tina, Reitman, Zachary J., Rudie, Jeffrey D., Saluja, Rachit, Sheller, MIcah, Shinohara, Russell Takeshi, Viswanathan, Karthik, Wang, Chunhao, Wiestler, Benedikt, Wiggins, Walter F., Davatzikos, Christos, Storm, Phillip B., Bornhorst, Miriam, Packer, Roger, Hummel, Trent, de Blank, Peter, Hoffman, Lindsey, Aboian, Mariam, Nabavizadeh, Ali, Ware, Jeffrey B., Kann, Benjamin H., Rood, Brian, Resnick, Adam, Bakas, Spyridon, Vossough, Arastoo, Linguraru, Marius George
Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutiona
Externí odkaz:
http://arxiv.org/abs/2407.08855
Significant advances have been made toward building accurate automatic segmentation models for adult gliomas. However, the performance of these models often degrades when applied to pediatric glioma due to their imaging and clinical differences (doma
Externí odkaz:
http://arxiv.org/abs/2406.16848
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Autor:
Marco Bonanno, Leandra Desjardins, Tziona Lugasi, Julie Carrier, Nathalie Labonté, Serge Sultan, Hallie Coltin, Sébastien Perrault, Carole Provost, Caroline Laverdière, Nancy Cloutier, Andrea Saragosti, Émilie Régnier-Trudeau, Benedicte Koukoui
Publikováno v:
Pilot and Feasibility Studies, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Background Pediatric brain tumor survivors (PBTS) are at risk of physical, cognitive, and psychosocial challenges related to their diagnosis and treatment. Routine follow-up care as adults is therefore essential to their long-term health and
Externí odkaz:
https://doaj.org/article/2f0a6bf38eec47da8c08d1c0f8a57ca2