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Segmentation

Papers

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Showing 12251–12300 of 13072 papers

TitleStatusHype
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation—0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling—0
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI—0
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-photon microscopy images—0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion—0
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups—0
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images—0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation—0
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation—0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation—0
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation—0
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation—0
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation—0
Compact retail shelf segmentation for mobile deployment—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation—0
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal—0
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation—0
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches—0
MONA: Moving Object Detection from Videos Shot by Dynamic Camera—0
MoNet: Deep Motion Exploitation for Video Object Segmentation—0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images—0
Comparative analysis of segmentation and generative models for fingerprint retrieval task—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation—0
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans—0
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery—0
Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images—0
BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation—0
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord—0
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes—0
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion—0
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images—0
Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones—0
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks—0
Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation—0
Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images—0
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images—0
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images—0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images—0
Monitoring snow avalanches from SAR data with deep learning—0
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation—0
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection—0
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project—0
Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese—0
Compassionately Conservative Balanced Cuts for Image Segmentation—0
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data—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