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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 501–550 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
Generating Highly Realistic Images of Skin Lesions with GANs—0
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation—0
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy—0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
GradMask: Reduce Overfitting by Regularizing Saliency—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results—0
II-FCN for skin lesion analysis towards melanoma detection—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Improved Inference via Deep Input Transfer—0
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
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