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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 301–350 of 640 papers

TitleStatusHype
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation—0
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetCode1
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico ExperimentsCode2
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive NormalizationCode0
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Class Balanced PixelNet for Neurological Image Segmentation—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Segmentation-Consistent Probabilistic Lesion CountingCode0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing ModalitiesCode1
Constrained unsupervised anomaly segmentationCode1
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers—0
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation—0
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues—0
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Cross-Domain Federated Learning in Medical Imaging—0
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
Quality monitoring of federated Covid-19 lesion segmentation—0
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT—0
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus ImagesCode1
Novel coronavirus pneumonia lesion segmentation in CT images—0
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound imagesCode0
Prior Attention Network for Multi-Lesion Segmentation in Medical ImagesCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
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