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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 151–200 of 640 papers

TitleStatusHype
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise HardnessCode1
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation DatasetCode1
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion—0
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation—0
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain ImagesCode1
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy—0
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency ModelingCode0
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNNCode0
SSG2: A new modelling paradigm for semantic segmentationCode1
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
Shifting More Attention to Breast Lesion Segmentation in Ultrasound VideosCode1
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
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