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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 141–150 of 640 papers

TitleStatusHype
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
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
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation—0
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