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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 241–250 of 640 papers

TitleStatusHype
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical ImagesCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
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