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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 101–125 of 640 papers

TitleStatusHype
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
Prior Attention Network for Multi-Lesion Segmentation in Medical ImagesCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentationCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT ImagingCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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