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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 51100 of 640 papers

TitleStatusHype
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus ImagesCode1
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion SegmentationCode1
MAPPING: Model Average with Post-processing for Stroke Lesion SegmentationCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
Constrained unsupervised anomaly segmentationCode1
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing ModalitiesCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
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
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR ImagesCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasetsCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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