SOTAVerified

Segmentation

Papers

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Showing 2401–2425 of 13072 papers

TitleStatusHype
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior—0
Generative Medical SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset—0
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation—0
Multi-Layer Dense Attention Decoder for Polyp SegmentationCode0
Transformers-based architectures for stroke segmentation: A review—0
Annolid: Annotate, Segment, and Track Anything You NeedCode0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models—0
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation—0
Deep models for stroke segmentation: do complex architectures always perform better?—0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image SegmentationCode0
Clustering Propagation for Universal Medical Image SegmentationCode1
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images—0
HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management—0
PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation—0
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified