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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 51–60 of 640 papers

TitleStatusHype
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
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