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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 601–640 of 640 papers

TitleStatusHype
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—0
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions—0
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs—0
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images—0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Mutual gain adaptive network for segmenting brain stroke lesions—0
Navigating Uncertainty in Medical Image Segmentation—0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Patch Network for medical image Segmentation—0
Pathological myopia classification with simultaneous lesion segmentation using deep learning—0
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
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
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