The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H. MenzeAndrás JakabStefan BauerJayashree Kalpathy-CramerKeyvan FarahaniJustin S. KirbyYuliya BurrenNicole PorzJohannes SlotboomRoland WiestLevente LancziElizabeth R. GerstnerMarc-André WeberTal ArbelBrian B. AvantsNicholas AyachePatricia BuendiaD. Louis CollinsNicolas CordierJason J. CorsoAntonio CriminisiTilak DasHerve DelingetteÇagatay DemiralpChristopher R. DurstMichel DojatSenan DoyleJoana FestaFlorence ForbesEzequiel GeremiaBen GlockerPolina GollandXiaotao GuoAndac HamamciKhan M. IftekharuddinRaj JenaNigel M. JohnEnder KonukogluDanial LashkariJosé Antonio MarizRaphael MeierSérgio PereiraDoina PrecupStephen J. PriceTammy Riklin RavivSyed M. S. RezaMichael T. RyanDuygu SarikayaLawrence H. SchwartzHoo-Chang ShinJamie ShottonCarlos A. SilvaNuno SousaNagesh K. SubbannaGábor SzékelyThomas J. TaylorOwen M. ThomasNicholas J. TustisonGözde B. ÜnalFlor VasseurMax WintermarkDong Hye YeLiang ZhaoBinsheng ZhaoDarko ZikicMarcel PrastawaMauricio ReyesKoen Van LeemputPublished in: IEEE Trans. Medical Imaging (2015)
Keyphrases
- brain tumors
- image segmentation
- berkeley segmentation dataset
- magnetic resonance images
- mr images
- magnetic resonance
- tumor segmentation
- medical imaging
- deformable registration
- multiscale
- mri images
- brain images
- markov random field
- boundary detection
- medical image analysis
- low grade gliomas
- segmentation method
- brain mr images
- brain tissue
- deformable models
- tumor growth
- image analysis
- computer vision
- graph cuts
- segmentation algorithm
- region growing
- level set
- active contours
- medical images
- model based segmentation
- shape prior
- multi modal
- ground truth
- three dimensional
- magnetic resonance spectroscopy
- energy minimization