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SOTA
Medical Object Detection
Medical Object Detection On Deeplesion
Medical Object Detection On Deeplesion
评估指标
Sensitivity
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Sensitivity
Paper Title
Repository
P3D
88.55
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
MELD
86.6
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
-
Improved RetinaNet
82.36
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
MVP Net
83.64
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
FCOS
86.05
An Efficient Anchor-free Universal Lesion Detection in CT-scans
-
AlignShift
86.83
Conditional Training with Bounding Map for Universal Lesion Detection
-
MULAN
85.22
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
DKMA-ULD
87.16
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection
-
MP3D
86.74
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
3DCE
75.55
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
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