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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 501–525 of 640 papers

TitleStatusHype
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Exploiting bilateral symmetry in brain lesion segmentation—0
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation—0
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images—0
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures—0
Fully Connected Deep Structured Networks—0
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation—0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Generalizable automated ischaemic stroke lesion segmentation with vision transformers—0
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