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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

Showing 101150 of 640 papers

TitleStatusHype
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationCode1
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
Synthetic Data for Robust Stroke SegmentationCode1
Constrained unsupervised anomaly segmentationCode1
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion SegmentationCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
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