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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 26–50 of 640 papers

TitleStatusHype
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
Synthetic Data for Robust Stroke SegmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7TCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise HardnessCode1
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation DatasetCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
SSG2: A new modelling paradigm for semantic segmentationCode1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
Shifting More Attention to Breast Lesion Segmentation in Ultrasound VideosCode1
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
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