TC: 0.817Avg.: 0.817
Papers with Code · CC BY-SA 4.0
Brain Tumor Segmentation
Brain Tumor Segmentation is a medical image analysis task that involves the separation of brain tumors from normal brain tissue in magnetic resonance imaging (MRI) scans. The goal of brain tumor segmentation is to produce a binary or multi-class segmentation map that accurately reflects the location and extent of the tumor.
<span style="color:grey; opacity: 0.6">( Image credit: Brain Tumor Segmentation with Deep Neural Networks )</span>
논문
Dice Score: 0.9071
Dice Score: 0.905
Dice Score: 0.84
Dice Score: 92.76
Dice Score: 0.7163
1:3 Accuracy: 8
Dice Score: 0.87049
WT: 0.9135TC: 0.8677ET: 0.8069
Dice Score ET: 0.87Dice Score TC: 0.865Dice Score WT: 0.926HD95_min ET: 0.20745
Dice Score: 84%
mIoU: 82
Dice Score: 85.0%
Dice Score: 85.0%
Dice Score ET: 0.692Dice Score TC: 0.918Dice Score WT: 0.926Dice Score NET: 0.859
Dice Score: 0.9258
Dice Score: 0.8037MSD: 0.9VS: 93.08
Dice Score: 0.84
Dice Score: 0.9096