SOTAVerified

Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 640 papers

TitleStatusHype
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
Show:102550
← PrevPage 14 of 26Next →

No leaderboard results yet.