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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 341–350 of 640 papers

TitleStatusHype
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Patch Network for medical image Segmentation—0
Pathological myopia classification with simultaneous lesion segmentation using deep learning—0
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
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