The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
Ujjwal BaidSatyam GhodasaraMichel BilelloSuyash MohanEvan CalabreseErrol ColakKeyvan FarahaniJayashree Kalpathy-CramerFelipe C. KitamuraSarthak PatiLuciano M. PrevedelloJeffrey D. RudieChiharu SakoRussell T. ShinoharaTimothy BergquistRong ChaiJames EddyJulia ElliottWalter ReadeThomas SchaffterThomas YuJiaxin ZhengBraTS AnnotatorsChristos DavatzikosJohn MonganChristopher HessSoonmee ChaJavier E. Villanueva-MeyerJohn B. FreymannJustin S. KirbyBenedikt WiestlerPriscila CrivellaroRivka R. ColenAikaterini KotrotsouDaniel S. MarcusMikhail MilchenkoArash NazeriHassan M. Fathallah-ShaykhRoland WiestAndrás JakabMarc-André WeberAbhishek MahajanBjoern H. MenzeAdam E. FlandersSpyridon BakasPublished in: CoRR (2021)
Keyphrases
- classification systems
- automatic classification
- support vector machine svm
- feature extraction
- pattern recognition
- classification accuracy
- image classification
- grand challenge
- classification algorithm
- decision rules
- unsupervised learning
- classification method
- svm classifier
- feature space
- decision trees
- text classification
- feature selection
- computational intelligence
- class labels
- multi class
- support vector machine
- feature vectors
- training set
- machine learning methods
- pattern classification
- international workshop
- classification scheme
- preprocessing
- classification process