Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
Dominic LaBellaKatherine SchumacherMichael MixKevin LeuShan McBurney-LinPierre NedelecJavier E. Villanueva-MeyerJonathan ShapeyTom VercauterenKazumi ChiaOmar Al-SalihiJustin LeuLia HalaszYury VelichkoChunhao WangJohn KirkpatrickScott FloydZachary J. ReitmanTrey MullikinUlas BagciSean SachdevJona A. Hattangadi-GluthTyler M. SeibertNikdokht FaridConnor PuettMatthew W. PeaseKevin ShiueSyed Muhammad AnwarShahriar FaghaniMuhammad Ammar HaiderPranav I. WarmanJake AlbrechtAndrás JakabMana MoassefiVerena ChungAlejandro AristizabalAlexandros KarargyrisHasan KassemSarthak PatiMicah J. ShellerChristina HuangAaron ColeySiddharth GhantaAlex SchneiderConrad SharpRachit SalujaFlorian KoflerPhilipp LohmannPhilipp VollmuthLouis GagnonMaruf AdewoleHongwei Bran LiAnahita Fathi KazerooniNourel Hoda TahonUdunna AnazodoAhmed W. MoawadBjoern H. MenzeMarius George LinguraruMariam AboianBenedikt WiestlerUjjwal BaidGian Marco ConteAndreas M. RauscheckerAyman NadaAly H. AbayazeedRaymond Y. HuangMaria Correia de VerdierJeffrey D. RudieSpyridon BakasEvan CalabresePublished in: CoRR (2024)
Keyphrases
- automated segmentation
- treatment planning
- brain tumor segmentation
- manual segmentation
- segmentation method
- ct scans
- magnetic resonance images
- clinical applications
- automatic segmentation
- fully automated
- mr images
- anatomical structures
- image data
- prostate cancer
- statistical shape model
- mutual information
- gold standard
- magnetic resonance
- medical images
- object detection
- ground truth