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Segmentation

Papers

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Showing 10126–10150 of 13072 papers

TitleStatusHype
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision—0
Disentangle, align and fuse for multimodal and semi-supervised image segmentationCode0
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision—0
Deep learning for cardiac image segmentation: A review—0
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding—0
Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae—0
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications—0
Optimization with soft Dice can lead to a volumetric bias—0
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation—0
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent EmbeddingsCode0
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation—0
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation ProblemCode0
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation—0
GAN-enhanced Conditional Echocardiogram GenerationCode0
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & PracticeCode0
Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetryCode0
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations—0
Self-Supervised Difference Detection for Weakly-Supervised Semantic SegmentationCode0
Technical Report: Co-learning of geometry and semantics for online 3D mapping—0
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei SegmentationCode0
Leveraging Pretrained Image Classifiers for Language-Based Segmentation—0
Towards Learning Structure via Consensus for Face Segmentation and ParsingCode0
Gland Segmentation in Histopathological Images by Deep Neural Network—0
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation—0
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning—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