The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
Maruf AdewoleJeffrey D. RudieAnu GbadamosiOluyemisi ToyoboRaymond ConfidenceDong ZhangOlubukola OmidijiRachel AkinolaMohammad Abba SuwaidAdaobi EmegoakorNancy OjoKenneth AguhChinasa KalaiwoGabriel BabatundeAfolabi OgunleyeYewande GbadamosiKator IorpagherEvan CalabreseMariam AboianMarius George LinguraruJake AlbrechtBenedikt WiestlerFlorian KoflerAnastasia JanasDominic LaBellaAnahita Fathi KazerooniHongwei Bran LiJuan Eugenio IglesiasKeyvan FarahaniJames A. EddyTimothy BergquistVerena ChungRussell Takeshi ShinoharaWalter I. WigginsZachary ReitmanChunhao WangXinyang LiuZhifan JiangAriana FamiliarKoen Van LeemputChristina BukasMarie PiraudGian Marco ConteElaine JohansonZeke MeierBjoern H. MenzeUjjwal BaidSpyridon BakasFarouk DakoAbiodun FatadeUdunna AnazodoPublished in: CoRR (2023)
Keyphrases
- brain tumor segmentation
- brain tumors
- magnetic resonance images
- clinical data
- mr images
- inter patient
- accurate segmentation
- segmentation algorithm
- magnetic resonance
- level set
- segmentation method
- high quality
- patient data
- multiscale
- region growing
- shape prior
- treatment planning
- medical images
- brain images
- image analysis
- medical image analysis
- three dimensional
- brain tissue
- developing countries
- image segmentation
- fully automatic