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Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5276–5300 of 13072 papers

TitleStatusHype
Gland Instance Segmentation Using Deep Multichannel Neural Networks—0
Gland Segmentation in Histopathological Images by Deep Neural Network—0
Gland Segmentation in Histopathology Images Using Random Forest Guided Boundary Construction—0
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features—0
Gland Segmentation Using SAM With Cancer Grade as a Prompt—0
Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention—0
Glass Segmentation Using Intensity and Spectral Polarization Cues—0
Faster Diffusion Action Segmentation—0
Gleason Score Prediction using Deep Learning in Tissue Microarray Image—0
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation—0
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information—0
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards—0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation—0
Compact retail shelf segmentation for mobile deployment—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
Global context reasoning for semantic segmentation of 3d point clouds—0
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional Network—0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation—0
Global Deconvolutional Networks for Semantic Segmentation—0
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images—0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation—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