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HyperAI超神经

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

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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Medical Object Detection On Deeplesion | SOTA | HyperAI超神经