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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 211–220 of 640 papers

TitleStatusHype
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation ChallengeCode0
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer settingCode0
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing TechniquesCode0
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion SegmentationCode0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III ChallengeCode0
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation—0
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
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