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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 1–10 of 640 papers

TitleStatusHype
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation—0
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
How We Won the ISLES'24 Challenge by PreprocessingCode0
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion SegmentationCode1
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation—0
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation—0
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer—0
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