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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 611–620 of 640 papers

TitleStatusHype
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Mutual gain adaptive network for segmenting brain stroke lesions—0
Navigating Uncertainty in Medical Image Segmentation—0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
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
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