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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 301–350 of 640 papers

TitleStatusHype
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
Disentangled PET Lesion Segmentation—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
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
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation—0
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
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
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