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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 351–375 of 640 papers

TitleStatusHype
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence—0
Progressive Adversarial Semantic Segmentation—0
Quality monitoring of federated Covid-19 lesion segmentation—0
Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces—0
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation—0
Saliency-based segmentation of dermoscopic images using color information—0
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints—0
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
Segmentation and ABCD rule extraction for skin tumors classification—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means—0
Segmenting Dermoscopic Images—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images—0
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation—0
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