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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 101–150 of 640 papers

TitleStatusHype
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)Code1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
SSG2: A new modelling paradigm for semantic segmentationCode1
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor SegmentationCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation DatasetCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
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
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Constrained unsupervised anomaly segmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
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
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoPET III Challenge: PET/CT Semantic Segmentation—0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
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