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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 121–130 of 640 papers

TitleStatusHype
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical ImagesCode0
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
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
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
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