The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
<|reference_start|>The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI: Gliomas are the most common malignant primary brain tumors in adults and one of the deadliest types of cancer. There are many challenges in treatment and monitoring due to the genetic diversity and high intrinsic heterogeneity in appearance, shape, histology, and treatment response. Treatments include surgery, radiation, and systemic therapies, with magnetic resonance imaging (MRI) playing a key role in treatment planning and post-treatment longitudinal assessment. The 2024 Brain Tumor Segmentation (BraTS) challenge on post-treatment glioma MRI will provide a community standard and benchmark for state-of-the-art automated segmentation models based on the largest expert-annotated post-treatment glioma MRI dataset. Challenge competitors will develop automated segmentation models to predict four distinct tumor sub-regions consisting of enhancing tissue (ET), surrounding non-enhancing T2/fluid-attenuated inversion recovery (FLAIR) hyperintensity (SNFH), non-enhancing tumor core (NETC), and resection cavity (RC). Models will be evaluated on separate validation and test datasets using standardized performance metrics utilized across the BraTS 2024 cluster of challenges, including lesion-wise Dice Similarity Coefficient and Hausdorff Distance. Models developed during this challenge will advance the field of automated MRI segmentation and contribute to their integration into clinical practice, ultimately enhancing patient care.<|reference_end|>
@article{de verdier2024the,
    title={The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation
  on Post-treatment MRI},
    author={Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic
  LaBella, Ujjwall Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang,
  Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya
  Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis,
  Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David
  Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena
  Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Eugenio
  Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern Menze,
  Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil
  Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen
  Dhemesh, Brandon K.K. Fields, Filip Garrett, Jaime Gass, Lubomir Hadjiiski,
  Jona Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester
  J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen,
  Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X.
  Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier Villanueva-Meyer,
  Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders Dale, Mert R.
  Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly Abayazeed, Raymond Huang,
  Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman
  Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie},
    journal={arXiv preprint arXiv:2405.18368},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.18368},
    primaryClass={cs.CV}
}