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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 201–250 of 640 papers

TitleStatusHype
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and DialogueCode1
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
DAGrid: Directed Accumulator GridCode1
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationCode0
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
3D PETCT Tumor Lesion Segmentation via GCN Refinement—0
Patch Network for medical image Segmentation—0
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationCode0
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by EnhancingCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Spatially Covariant Lesion Segmentation—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
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