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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 201–210 of 640 papers

TitleStatusHype
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
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
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
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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