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ResearchFormerly WizWand

Multi-class Tumour Segmentation on BRATS

75.12mIoUSegPL+VI
53.238458.919264.670.2808Aug 8, 2022
Updated 8mo ago

Evaluation results

MethodLinks
SegPL+VILearning Paradigm=Semi-Supervised, Data Labelled Slices=300, Encoder Channels=162022.0875.12
SegPL+VILearning Paradigm=Semi-Supervised, Data Labelled Slices=150, Encoder Channels=162022.0872.93
SegPLLearning Paradigm=Semi-Supervised, Data Labelled Slices=300, Encoder Channels=162022.0872.6
SegPLLearning Paradigm=Semi-Supervised, Data Labelled Slices=150, Encoder Channels=162022.0871.35
CPSLearning Paradigm=Semi-Supervised, Data Labelled Slices=300, Encoder Channels=162022.0871.24
SegPL+VILearning Paradigm=Semi-Supervised, Data Labelled Slices=50, Encoder Channels=162022.0871.2
FixMatchLearning Paradigm=Semi-Supervised, Data Labelled Slices=300, Encoder Channels=162022.0870.84
Self-LoopLearning Paradigm=Semi-Supervised, Data Labelled Slices=300, Encoder Channels=162022.0870.8
SegPLLearning Paradigm=Semi-Supervised, Data Labelled Slices=50, Encoder Channels=162022.0870.6
CPSLearning Paradigm=Semi-Supervised, Data Labelled Slices=150, Encoder Channels=162022.0869.69
FixMatchLearning Paradigm=Semi-Supervised, Data Labelled Slices=150, Encoder Channels=162022.0869.54
Self-LoopLearning Paradigm=Semi-Supervised, Data Labelled Slices=150, Encoder Channels=162022.0868.45
2D U-netLearning Paradigm=Supervised, Data Labelled Slices=300, Encoder Channels=162022.0867.49
FixMatchLearning Paradigm=Semi-Supervised, Data Labelled Slices=50, Encoder Channels=162022.0867.35
Self-LoopLearning Paradigm=Semi-Supervised, Data Labelled Slices=50, Encoder Channels=162022.0865.91
2D U-netLearning Paradigm=Supervised, Data Labelled Slices=150, Encoder Channels=162022.0864.24
CPSLearning Paradigm=Semi-Supervised, Data Labelled Slices=50, Encoder Channels=162022.0863.89
2D U-netLearning Paradigm=Supervised, Data Labelled Slices=50, Encoder Channels=162022.0854.08